Antw: [gmx-users] How to suppress the error X particles communicated to PME node Y are more than a cell length out of the domain decomposition cell of their charge group

2010-12-02 Thread Emanuel Peter
Hello,

Have you also tried this simulation with a velocity rescaling thermostat in the 
equilibration period?
Could it be that it then would work better?

Bests,

Emanuel

 WU Yanbin  02.12.10 6.16 Uhr 
Dear GMXers,

I'm running a simulation of water contact angle measurement on top of graphite 
surface. 
Initially a water cubic box is placed on two-layer graphite surface with the 
rest of the box being vacuum. The water droplet is relaxed during the 
simulation to develop a spherical shape.

An error of X particles communicated to PME node Y are more than a cell length 
out of the domain decomposition cell of their charge group was encountered.
And I have read the suggested solutions at the link below
http://www.gromacs.org/Documentation/Errors#X_particles_communicated_to_PME_node_Y_are_more_than_a_cell_length_out_of_the_domain_decomposition_cell_of_their_charge_group.

I guess the reason for this error in my case is because of the vacuum such that 
the water molecules at the boundary of the droplet can move fast. I have check 
the trajectory and the simulation is OK.

For this situation, is there a way of suppressing this error? Or what else can 
I do?

PS: the GROMACS version I'm using is GROMACS4.5.

Thank you.

Best,
Yanbin

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[gmx-users] Fwd: lateral diffusion coefficients on a spherical surface

2010-12-02 Thread Thomas Piggot

Hi,

I am forwarding on a message on behalf of one of my colleagues who is 
having problems sending messages to the list. Please take a look his 
message and see if you can help him with his problem.


Thank you

Tom Piggot

 Original Message 
Subject:lateral diffusion coefficients on a spherical surface
Date:   Thu, 2 Dec 2010 08:05:36 +
From:   Daniel dah1...@soton.ac.uk
To: Piggot T. t.pig...@soton.ac.uk



Dear Gromacs users,

I would like to calculate some lateral diffusion coefficients of 
molecules on a spherical surface. I realise that there is no gromacs 
tool that can do this, but I was wondering if there might be a clever 
way to edit the code for g_msd? I am currently using Gromacs version 4.0.7.


Firstly, I would like to calculate the arc length – the approximate 
displacement across the surface of the sphere, instead of the linear 
displacement.


Secondly, I would like to remove any angular movement resulting from the 
rotation of the whole sphere. I realise that there may be a way to do 
this during the simulation using the com_mode set to angular, but is 
there a way to post process a trajectory to remove the rotation of the 
whole sphere? Would post processing of the simulation trajectory 
introduce errors?


Thank you very much for your help,

Daniel

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Re: [gmx-users] Restraining water

2010-12-02 Thread David Rodríguez
2010/12/2 Mark Abraham mark.abra...@anu.edu.au

 On 2/12/2010 12:51 PM, Guido Polles wrote:

 Hi,
 I know it looks a little bit strange, but i was trying to restrain
 just some water in my system.
 Now, if i put something like
 [ position_restraints ]
 ;  i funct   fcxfcyfcz
11   1000   1000   1000
 I put restraints on all the molecules.


 Yes, that directive will pertain to all the molecules that have that [
 moleculetype ]. I'm not sure if you only want position restraints on some of
 your water molecules.


  I thought about a turnaround,  just making a second water molecule
 type, but now complains about using more than one settle type.
 Is there any other way to do it?


Guido,
You may find this thread useful:
http://lists.gromacs.org/pipermail/gmx-users/2010-September/054087.html


 And if I follow the Suggestion: change the least use settle
 constraints into 3 normal constraints I have to worry about some kind
 of huge loss in performance?


 I would expect the non-settle waters to use the solvent-optimized loops in
 the normal way, so there should be no difference in execution time between
 the unrestrained all-settle simulation and the partly-restrained
 party-settled simulation. Obviously, this is straightforward to test.

 Mark

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Re: [gmx-users] add a new force field to the pdb2gmx list

2010-12-02 Thread Jia Haitao
yes, I lost a forcefield.itp file.

2010/12/1 Mark Abraham mark.abra...@anu.edu.au

  On 1/12/2010 3:55 PM, Jia Haitao wrote:

 No, I did not miss any files in direction .ff. I even add a ffpolycg.itp
 in ../$GMXLIB. Is there any file like FF.dat ?


 See pdb2gmx -h

 Mark


 2010/12/1 Mark Abraham mark.abra...@anu.edu.au

  On 1/12/2010 3:17 PM, Jia Haitao wrote:

 Dear all,
I have constructed a new CG force field named polycg,  and added
 them to direction ..$GMXLIB/polycg.ff. Can anybody tell me how to add my new
 force field to gromacs default force field list, in case I can use it to
 convert pdb files in program pdb2gmx.
My gromacs version is 4.5. There is not FF.dat file in direction
 $GMXLIB any more.
   I will be very appreciate for your help.


  Look at the contents for the other force fields. There's probably
 something you don't have, like forcefield.doc

 Mark
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Re: [gmx-users] How to suppress the error X particles communicated to PME node Y are more than a cell length out of the domain decomposition cell of their charge group

2010-12-02 Thread Carsten Kutzner
On Dec 2, 2010, at 6:16 AM, WU Yanbin wrote:

 Dear GMXers,
 
 I'm running a simulation of water contact angle measurement on top of 
 graphite surface. 
 Initially a water cubic box is placed on two-layer graphite surface with the 
 rest of the box being vacuum. The water droplet is relaxed during the 
 simulation to develop a spherical shape.
 
 An error of X particles communicated to PME node Y are more than a cell 
 length out of the domain decomposition cell of their charge group was 
 encountered.
 And I have read the suggested solutions at the link below
 http://www.gromacs.org/Documentation/Errors#X_particles_communicated_to_PME_node_Y_are_more_than_a_cell_length_out_of_the_domain_decomposition_cell_of_their_charge_group.
 
 I guess the reason for this error in my case is because of the vacuum such 
 that the water molecules at the boundary of the droplet can move fast. I have 
 check the trajectory and the simulation is OK.
 
 For this situation, is there a way of suppressing this error? Or what else 
 can I do?
If the system is small enough, you can run it on a single core and
the problem cannot occur. You could also try to use particle decomposition 
(-pd) instead
of domain decomposition. Or use less domains, i.e. less cores in total or at 
least
less PP nodes if you use PME/PP splitting. This will at least reduce the 
probability for the problem to occur.

Carsten


 
 PS: the GROMACS version I'm using is GROMACS4.5.
 
 Thank you.
 
 Best,
 Yanbin
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Tel. +49-551-2012313, Fax: +49-551-2012302
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[gmx-users] Allocation memory failure with g_msd (version 4.5.X)

2010-12-02 Thread Javier Cerezo

Hi all.

I found a memory allocation problem when using g_msd in verions 4.5.1 
and higher when the option -mol is enabled. Here you have the command 
line input:


$ g_msd -f DPPC_run -s DPPC_run -n -lateral z -o D_mol -b 1 -mol

And the error message:


Program g_msd, VERSION 4.5.3
Source code file: smalloc.c, line: 214

Fatal error:
Not enough memory. Failed to realloc 8192 bytes for stats-y, stats-y=0x0
(called from file gmx_statistics.c, line 110)


As monitored with top command, thats actually what is happening: program 
start to take a lot of memory from buffer until it crash. However this 
is not the case when the option -mol is not request or when using 
previous versions (even with -mol option). Am I doing something wrong? 
Is there anything extra to care about when submitting g_msd from 
versions 4.5.X?


Thanks for your attention.

Javier

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[gmx-users] Re: individual lateral diffusion coefficients

2010-12-02 Thread Ángel Piñeiro
I want to add that the MSD as a function of time (msd.xvg file) looks
completely linear

Greetings,

Ángel Piñeiro.

On Thu, 2010-12-02 at 12:45 +0100, Ángel Piñeiro wrote:

 Dear all,
 I aim to calculate the lateral diffusion coefficients of lipids as a
 function of the distance to a membrane protein using the Martini force
 field. For this I guess I could use the diff_mol.xvg output file of
 the g_msd command which provides the list of diffusion coefficients
 for each lipid (I guess the lipids are ordered as in the trajectory
 file). Then I would calculate the protein-lipid distance for each
 lipid and I would generate the diffusion vs distance file. Before
 starting the calculations on the membrane protein system I tested the
 g_msd command on a DPPC bilayer. In my bilayer simulation I removed
 the COM of lipids and water separately. Before analyzing it I removed
 jumps over the box boundaries using trjconv -pbc nojump and I created
 a index file with the PO4 atoms as a new group. Then I executed the
 following command:
 
 g_msd -s topol.tpr -f trajnojump.xtc -n p.ndx -lateral z -rmcomm
 
 from which I get the following output:
 D[   PO4] 0.0958 (+/- 0.0135) 1e-5 cm^2/s
 
 I think the value is not crazy for DPPC at 323 K using Martini... but
 I noticed that the D values for the independent lipids reported in the
 diff_mol.xvg file range from 0.0021959 to 0.482909 cm^2/s. If the
 differences are so high for a single lipid bilayer I suspect that I
 will not observe significant differences as a function of the distance
 to the protein in my simulations of the whole system... probably I am
 doing something wrong¿?
 
 Thanks for any advice
 
 Ángel Piñeiro.
 
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[gmx-users] individual lateral diffusion coefficients

2010-12-02 Thread Ángel Piñeiro
Dear all,
I aim to calculate the lateral diffusion coefficients of lipids as a
function of the distance to a membrane protein using the Martini force
field. For this I guess I could use the diff_mol.xvg output file of the
g_msd command which provides the list of diffusion coefficients for each
lipid (I guess the lipids are ordered as in the trajectory file). Then I
would calculate the protein-lipid distance for each lipid and I would
generate the diffusion vs distance file. Before starting the
calculations on the membrane protein system I tested the g_msd command
on a DPPC bilayer. In my bilayer simulation I removed the COM of lipids
and water separately. Before analyzing it I removed jumps over the box
boundaries using trjconv -pbc nojump and I created a index file with the
PO4 atoms as a new group. Then I executed the following command:

g_msd -s topol.tpr -f trajnojump.xtc -n p.ndx -lateral z -rmcomm

from which I get the following output:
D[   PO4] 0.0958 (+/- 0.0135) 1e-5 cm^2/s

I think the value is not crazy for DPPC at 323 K using Martini... but I
noticed that the D values for the independent lipids reported in the
diff_mol.xvg file range from 0.0021959 to 0.482909 cm^2/s. If the
differences are so high for a single lipid bilayer I suspect that I will
not observe significant differences as a function of the distance to the
protein in my simulations of the whole system... probably I am doing
something wrong¿?

Thanks for any advice

Ángel Piñeiro.

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[gmx-users] proton proton transfer

2010-12-02 Thread Olga Ivchenko
Dear gromacs users,

I want to simulate proton transfer between water and another small molecule
in gromacs. In the end I should have the velosity of proton proton exchange.
Please can you advice me which method is better to use for this in gromacs.
I read about umbrella sampling, but may be there is other techniques?

Yours sincerely,
Olga
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Re: [gmx-users] Re: individual lateral diffusion coefficients

2010-12-02 Thread Javier Cerezo

Hello Ángel.

Well, there are a some things that I don't understand about your 
calculation, but might be just a problem of mine. Here you have my comments:


1. How do you get the diff_mol.xvg file if you are not using -mol in 
your command line input (and you index file has broken molecules).


2. Why do you select just an atom to calculate the diffusion? According 
to Wolhert and Edholm (JCP, 125, 204703) the MSD for all lipids atoms 
reach the same slope, so I guess using them all could improve sampling 
(I'm not sure).


3. I think that reprocessing of your trajectory to remove jumps is no 
longer needed (I got the same results in a recent test using version 4.5.1).


4. What I would do to calculate D as funtion to the distance to the 
membrane protein is generate different index files containing lipids 
according to this distance (and hoping they don't move a lot during the 
simulation) and run different msd calculations. I think I have read in 
the mailing list about a script to make such a selection regarding 
distances to construct the index file or just make your own one.


Good luck

Javier

El 02/12/10 12:50, Ángel Piñeiro escribió:
I want to add that the MSD as a function of time (msd.xvg file) looks 
completely linear


Greetings,

Ángel Piñeiro.

On Thu, 2010-12-02 at 12:45 +0100, Ángel Piñeiro wrote:

Dear all,
I aim to calculate the lateral diffusion coefficients of lipids as a 
function of the distance to a membrane protein using the Martini 
force field. For this I guess I could use the diff_mol.xvg output 
file of the g_msd command which provides the list of diffusion 
coefficients for each lipid (I guess the lipids are ordered as in the 
trajectory file). Then I would calculate the protein-lipid distance 
for each lipid and I would generate the diffusion vs distance file. 
Before starting the calculations on the membrane protein system I 
tested the g_msd command on a DPPC bilayer. In my bilayer simulation 
I removed the COM of lipids and water separately. Before analyzing it 
I removed jumps over the box boundaries using trjconv -pbc nojump and 
I created a index file with the PO4 atoms as a new group. Then I 
executed the following command:


g_msd -s topol.tpr -f trajnojump.xtc -n p.ndx -lateral z -rmcomm

from which I get the following output:
D[   PO4] 0.0958 (+/- 0.0135) 1e-5 cm^2/s

I think the value is not crazy for DPPC at 323 K using Martini... but 
I noticed that the D values for the independent lipids reported in 
the diff_mol.xvg file range from 0.0021959 to 0.482909 cm^2/s. If the 
differences are so high for a single lipid bilayer I suspect that I 
will not observe significant differences as a function of the 
distance to the protein in my simulations of the whole system... 
probably I am doing something wrong¿?


Thanks for any advice

Ángel Piñeiro.



--
Javier CEREZO BASTIDA
Estudiante de Doctorado
-
Dpto. Química-Física
Universidad de Murcia
30100 MURCIA (España)
Tlf.(+34)868887434

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Re: [gmx-users] proton proton transfer

2010-12-02 Thread Justin A. Lemkul



Olga Ivchenko wrote:

Dear gromacs users,

I want to simulate proton transfer between water and another small 
molecule in gromacs. In the end I should have the velosity of proton 
proton exchange. Please can you advice me which method is better to use 
for this in gromacs.

I read about umbrella sampling, but may be there is other techniques?



You can't do this with standard MD.  Bonds cannot break and re-form in a 
classical force field.  You might be able to do accomplish it with QM, however, 
but in that case you need to be looking outside of Gromacs.


-Justin


Yours sincerely,
Olga



--


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Ph.D. Candidate
ICTAS Doctoral Scholar
MILES-IGERT Trainee
Department of Biochemistry
Virginia Tech
Blacksburg, VA
jalemkul[at]vt.edu | (540) 231-9080
http://www.bevanlab.biochem.vt.edu/Pages/Personal/justin


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Re: [gmx-users] Re: individual lateral diffusion coefficients

2010-12-02 Thread Ángel Piñeiro
Hi Javier
1.- you are right! the diff_mol.xvg file I reported was from a previous
attempt in which I used the whole lipid molecules with the -mol option
on, instead of the PO4 beads with -mol off. Sorry for this confusion

2.- As I said above, I did attempts using both the whole molecule and
the PO4 beads. Yes I saw the figure 6 in the Wolhert Edholm's paper but
I read in several other references that the calculation is more accurate
by using only the P atom... what makes sense to me mainly for the lipids
which are in contact with proteins

3.- I agree that removing jumps does not change anything. I decided to
give this information in my message to avoid a reply saying try to
remove jumps ;)

4.- Yes I agree that I could do the calculation by creating an index for
each lipid... I guess that is the safest way to proceed... 

Thanks for your reply!

Ángel.



On Thu, 2010-12-02 at 13:30 +0100, Javier Cerezo wrote:

 Hello Ángel.
 
 Well, there are a some things that I don't understand about your
 calculation, but might be just a problem of mine. Here you have my
 comments:
 
 1. How do you get the diff_mol.xvg file if you are not using -mol in
 your command line input (and you index file has broken molecules).
 
 2. Why do you select just an atom to calculate the diffusion?
 According to Wolhert and Edholm (JCP, 125, 204703) the MSD for all
 lipids atoms reach the same slope, so I guess using them all could
 improve sampling (I'm not sure).
 
 3. I think that reprocessing of your trajectory to remove jumps is no
 longer needed (I got the same results in a recent test using version
 4.5.1).
 
 4. What I would do to calculate D as funtion to the distance to the
 membrane protein is generate different index files containing lipids
 according to this distance (and hoping they don't move a lot during
 the simulation) and run different msd calculations. I think I have
 read in the mailing list about a script to make such a selection
 regarding distances to construct the index file or just make your own
 one.
 
 Good luck
 
 Javier  
 
 El 02/12/10 12:50, Ángel Piñeiro escribió: 
 
  I want to add that the MSD as a function of time (msd.xvg file)
  looks completely linear
  
  Greetings,
  
  Ángel Piñeiro.
  
  On Thu, 2010-12-02 at 12:45 +0100, Ángel Piñeiro wrote:
  
   Dear all,
   I aim to calculate the lateral diffusion coefficients of lipids as
   a function of the distance to a membrane protein using the Martini
   force field. For this I guess I could use the diff_mol.xvg output
   file of the g_msd command which provides the list of diffusion
   coefficients for each lipid (I guess the lipids are ordered as in
   the trajectory file). Then I would calculate the protein-lipid
   distance for each lipid and I would generate the diffusion vs
   distance file. Before starting the calculations on the membrane
   protein system I tested the g_msd command on a DPPC bilayer. In my
   bilayer simulation I removed the COM of lipids and water
   separately. Before analyzing it I removed jumps over the box
   boundaries using trjconv -pbc nojump and I created a index file
   with the PO4 atoms as a new group. Then I executed the following
   command:
   
   g_msd -s topol.tpr -f trajnojump.xtc -n p.ndx -lateral z -rmcomm
   
   from which I get the following output:
   D[   PO4] 0.0958 (+/- 0.0135) 1e-5 cm^2/s
   
   I think the value is not crazy for DPPC at 323 K using Martini...
   but I noticed that the D values for the independent lipids
   reported in the diff_mol.xvg file range from 0.0021959 to 0.482909
   cm^2/s. If the differences are so high for a single lipid bilayer
   I suspect that I will not observe significant differences as a
   function of the distance to the protein in my simulations of the
   whole system... probably I am doing something wrong¿?
   
   Thanks for any advice
   
   Ángel Piñeiro.
   
 
 
 -- 
 Javier CEREZO BASTIDA
 Estudiante de Doctorado
 -
 Dpto. Química-Física
 Universidad de Murcia
 30100 MURCIA (España)
 Tlf.(+34)868887434
 -- 
 gmx-users mailing listgmx-users@gromacs.org
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 Please don't post (un)subscribe requests to the list. Use the 
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Re: [gmx-users] Re: individual lateral diffusion coefficients

2010-12-02 Thread Javier Cerezo

Hi Ángel

Can you provide a citation about the use of only PO4 atoms to calculate 
the diffusion constant? Is it always recommended or just with CG 
simulations? I'm also working on diffusion calculation and that will be 
interesting.


By the way, regarding the index files I mentioned, it might be better to 
have a group of lipids that are at a certain distance from the protein 
in the same index, again to improve sampling (maybe this is not a way to 
improve sampling, I don't know).


Thanks

Javier


El 02/12/10 13:56, Ángel Piñeiro escribió:

Hi Javier
1.- you are right! the diff_mol.xvg file I reported was from a 
previous attempt in which I used the whole lipid molecules with the 
-mol option on, instead of the PO4 beads with -mol off. Sorry for this 
confusion


2.- As I said above, I did attempts using both the whole molecule and 
the PO4 beads. Yes I saw the figure 6 in the Wolhert Edholm's paper 
but I read in several other references that the calculation is more 
accurate by using only the P atom... what makes sense to me mainly for 
the lipids which are in contact with proteins


3.- I agree that removing jumps does not change anything. I decided to 
give this information in my message to avoid a reply saying try to 
remove jumps ;)


4.- Yes I agree that I could do the calculation by creating an index 
for each lipid... I guess that is the safest way to proceed...


Thanks for your reply!

Ángel.



On Thu, 2010-12-02 at 13:30 +0100, Javier Cerezo wrote:

Hello Ángel.

Well, there are a some things that I don't understand about your 
calculation, but might be just a problem of mine. Here you have my 
comments:


1. How do you get the diff_mol.xvg file if you are not using -mol in 
your command line input (and you index file has broken molecules).


2. Why do you select just an atom to calculate the diffusion? 
According to Wolhert and Edholm (JCP, 125, 204703) the MSD for all 
lipids atoms reach the same slope, so I guess using them all could 
improve sampling (I'm not sure).


3. I think that reprocessing of your trajectory to remove jumps is no 
longer needed (I got the same results in a recent test using version 
4.5.1).


4. What I would do to calculate D as funtion to the distance to the 
membrane protein is generate different index files containing lipids 
according to this distance (and hoping they don't move a lot during 
the simulation) and run different msd calculations. I think I have 
read in the mailing list about a script to make such a selection 
regarding distances to construct the index file or just make your own 
one.


Good luck

Javier

El 02/12/10 12:50, Ángel Piñeiro escribió:
I want to add that the MSD as a function of time (msd.xvg file) 
looks completely linear


Greetings,

Ángel Piñeiro.

On Thu, 2010-12-02 at 12:45 +0100, Ángel Piñeiro wrote:

Dear all,
I aim to calculate the lateral diffusion coefficients of lipids as 
a function of the distance to a membrane protein using the Martini 
force field. For this I guess I could use the diff_mol.xvg output 
file of the g_msd command which provides the list of diffusion 
coefficients for each lipid (I guess the lipids are ordered as in 
the trajectory file). Then I would calculate the protein-lipid 
distance for each lipid and I would generate the diffusion vs 
distance file. Before starting the calculations on the membrane 
protein system I tested the g_msd command on a DPPC bilayer. In my 
bilayer simulation I removed the COM of lipids and water 
separately. Before analyzing it I removed jumps over the box 
boundaries using trjconv -pbc nojump and I created a index file 
with the PO4 atoms as a new group. Then I executed the following 
command:


g_msd -s topol.tpr -f trajnojump.xtc -n p.ndx -lateral z -rmcomm

from which I get the following output:
D[   PO4] 0.0958 (+/- 0.0135) 1e-5 cm^2/s

I think the value is not crazy for DPPC at 323 K using Martini... 
but I noticed that the D values for the independent lipids reported 
in the diff_mol.xvg file range from 0.0021959 to 0.482909 cm^2/s. 
If the differences are so high for a single lipid bilayer I suspect 
that I will not observe significant differences as a function of 
the distance to the protein in my simulations of the whole 
system... probably I am doing something wrong¿?


Thanks for any advice

Ángel Piñeiro.



--
Javier CEREZO BASTIDA
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-
Dpto. Química-Física
Universidad de Murcia
30100 MURCIA (España)
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Re: [gmx-users] proton proton transfer

2010-12-02 Thread Olga Ivchenko
Thnaks, Justin.
Probably CHARMM is suitable for this.

2010/12/2 Justin A. Lemkul jalem...@vt.edu



 Olga Ivchenko wrote:

 Dear gromacs users,

 I want to simulate proton transfer between water and another small
 molecule in gromacs. In the end I should have the velosity of proton proton
 exchange. Please can you advice me which method is better to use for this in
 gromacs.
 I read about umbrella sampling, but may be there is other techniques?


 You can't do this with standard MD.  Bonds cannot break and re-form in a
 classical force field.  You might be able to do accomplish it with QM,
 however, but in that case you need to be looking outside of Gromacs.

 -Justin

  Yours sincerely,
 Olga


 --
 

 Justin A. Lemkul
 Ph.D. Candidate
 ICTAS Doctoral Scholar
 MILES-IGERT Trainee
 Department of Biochemistry
 Virginia Tech
 Blacksburg, VA
 jalemkul[at]vt.edu | (540) 231-9080
 http://www.bevanlab.biochem.vt.edu/Pages/Personal/justin

 
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RE: [gmx-users] proton proton transfer

2010-12-02 Thread Ran Friedman
Hi Olga,

It's not straightforward in CHARMM as well. One method is to use conjugate peak 
refinement, but this will only get you the potential energy surface, but 
there's also a force field made by Meuwly for dealing with proton transfer 
IIRC. Depending on the system size, you may want to use QM/MM (implemented in 
Gromacs) or simulate your system with a DFT-based 'on semi-empricial code. 

Ran 


Ran Friedman
Biträdande Lektor (Assistant Professor)

Linnaeus University
School of Natural Sciences
391 82 Kalmar, Sweden

Norrgård, room 328d
+46 480 446 290 Telephone
+46 76 207 8763 Mobile
ran.fried...@lnu.se
http://lnu.se/research-groups/computational-chemistry-and-biochemistry-group?l=en


From: gmx-users-boun...@gromacs.org [gmx-users-boun...@gromacs.org] On Behalf 
Of Olga Ivchenko [olga.ivche...@gmail.com]
Sent: 02 December 2010 14:59
To: jalem...@vt.edu; Discussion list for GROMACS users
Subject: Re: [gmx-users] proton proton transfer

Thnaks, Justin.
Probably CHARMM is suitable for this.

2010/12/2 Justin A. Lemkul jalem...@vt.edumailto:jalem...@vt.edu


Olga Ivchenko wrote:
Dear gromacs users,

I want to simulate proton transfer between water and another small molecule in 
gromacs. In the end I should have the velosity of proton proton exchange. 
Please can you advice me which method is better to use for this in gromacs.
I read about umbrella sampling, but may be there is other techniques?


You can't do this with standard MD.  Bonds cannot break and re-form in a 
classical force field.  You might be able to do accomplish it with QM, however, 
but in that case you need to be looking outside of Gromacs.

-Justin

Yours sincerely,
Olga


--


Justin A. Lemkul
Ph.D. Candidate
ICTAS Doctoral Scholar
MILES-IGERT Trainee
Department of Biochemistry
Virginia Tech
Blacksburg, VA
jalemkul[at]vt.eduhttp://vt.edu | (540) 231-9080
http://www.bevanlab.biochem.vt.edu/Pages/Personal/justin


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RE: [gmx-users] proton proton transfer

2010-12-02 Thread Ran Friedman
Sorry for the typo below. DFT based *or* semi empirical code.

From: gmx-users-boun...@gromacs.org [gmx-users-boun...@gromacs.org] On Behalf 
Of Ran Friedman
Sent: 02 December 2010 15:01
To: Discussion list for GROMACS users
Subject: RE: [gmx-users] proton proton transfer

Hi Olga,

It's not straightforward in CHARMM as well. One method is to use conjugate peak 
refinement, but this will only get you the potential energy surface, but 
there's also a force field made by Meuwly for dealing with proton transfer 
IIRC. Depending on the system size, you may want to use QM/MM (implemented in 
Gromacs) or simulate your system with a DFT-based 'on semi-empricial code.

Ran


Ran Friedman
Biträdande Lektor (Assistant Professor)

Linnaeus University
School of Natural Sciences
391 82 Kalmar, Sweden

Norrgård, room 328d
+46 480 446 290 Telephone
+46 76 207 8763 Mobile
ran.fried...@lnu.se
http://lnu.se/research-groups/computational-chemistry-and-biochemistry-group?l=en


From: gmx-users-boun...@gromacs.org [gmx-users-boun...@gromacs.org] On Behalf 
Of Olga Ivchenko [olga.ivche...@gmail.com]
Sent: 02 December 2010 14:59
To: jalem...@vt.edu; Discussion list for GROMACS users
Subject: Re: [gmx-users] proton proton transfer

Thnaks, Justin.
Probably CHARMM is suitable for this.

2010/12/2 Justin A. Lemkul jalem...@vt.edumailto:jalem...@vt.edu


Olga Ivchenko wrote:
Dear gromacs users,

I want to simulate proton transfer between water and another small molecule in 
gromacs. In the end I should have the velosity of proton proton exchange. 
Please can you advice me which method is better to use for this in gromacs.
I read about umbrella sampling, but may be there is other techniques?


You can't do this with standard MD.  Bonds cannot break and re-form in a 
classical force field.  You might be able to do accomplish it with QM, however, 
but in that case you need to be looking outside of Gromacs.

-Justin

Yours sincerely,
Olga


--


Justin A. Lemkul
Ph.D. Candidate
ICTAS Doctoral Scholar
MILES-IGERT Trainee
Department of Biochemistry
Virginia Tech
Blacksburg, VA
jalemkul[at]vt.eduhttp://vt.edu | (540) 231-9080
http://www.bevanlab.biochem.vt.edu/Pages/Personal/justin


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Re: [gmx-users] .pqr to .pdb

2010-12-02 Thread mohsen ramezanpour
Dear Tsjerk

some information exist in pdb file which are not peresent in pqr and vise
versa.
I want to convert them to eachother in a way to conclude one's information
to the other file.
as you know a typical pdb file has a definite colomns and each of them
present a definite charachter(for example charge,X-coordinate,...)
my pqr has more atoms than original pdb,but It dosen't have any coordinates.
besides converting as you said dosen't solve the problem,because PYMOL can
not read this converted file.it needs a file who has included atoms
coordinates

thanks in advance for your reply
Mohsen

On Thu, Nov 25, 2010 at 9:44 PM, Tsjerk Wassenaar tsje...@gmail.com wrote:

 Hey,

 For this particular conversion you can also usually use 'mv':

 mv file.pqr file.pdb

 Btw, many of these file types are human readable. It usually helps quite a
 bit to look at the files and get acquainted with the file formats.

 Cheers,

 Tsjerk

 On Nov 22, 2010 12:42 PM, Mark Abraham mark.abra...@anu.edu.au wrote:

 On 22/11/2010 10:16 PM, mohsen ramezanpour wrote:   Dear  All   I had a
 pdb file who was incompl...
 Ask it for a pdb format. There should be no tool that builds atoms that
 cannot write a standard file format like PDB - particularly as PQR is a
 derivative of PDB.

 Oh, and this is a bit off-topic for this list :-)

 Mark
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Re: [gmx-users] .pqr to .pdb

2010-12-02 Thread Justin A. Lemkul



mohsen ramezanpour wrote:

Dear Tsjerk

some information exist in pdb file which are not peresent in pqr and 
vise versa.
I want to convert them to eachother in a way to conclude one's 
information to the other file.
as you know a typical pdb file has a definite colomns and each of them 
present a definite charachter(for example charge,X-coordinate,...)


Charges are not typically in .pdb files, and they certainly don't precede the 
x-coordinate.



my pqr has more atoms than original pdb,but It dosen't have any coordinates.


Then it sounds like you have a useless .pqr file.  The format of a proper .pqr 
file is identical to that of a .pdb file, except that in place of B-factor and 
occupancy fields, the charge and radius are given.  Thus, what Tsjerk told you 
should work, but perhaps you have a mangled input file that makes this impossible.


-Justin

besides converting as you said dosen't solve the problem,because PYMOL 
can not read this converted file.it http://file.it needs a file who 
has included atoms coordinates


thanks in advance for your reply
Mohsen

On Thu, Nov 25, 2010 at 9:44 PM, Tsjerk Wassenaar tsje...@gmail.com 
mailto:tsje...@gmail.com wrote:


Hey,

For this particular conversion you can also usually use 'mv':

mv file.pqr file.pdb

Btw, many of these file types are human readable. It usually helps
quite a bit to look at the files and get acquainted with the file
formats.

Cheers,

Tsjerk


On Nov 22, 2010 12:42 PM, Mark Abraham mark.abra...@anu.edu.au
mailto:mark.abra...@anu.edu.au wrote:

On 22/11/2010 10:16 PM, mohsen ramezanpour wrote:   Dear  All 
 I had a pdb file who was incompl...

Ask it for a pdb format. There should be no tool that builds atoms
that cannot write a standard file format like PDB - particularly
as PQR is a derivative of PDB.

Oh, and this is a bit off-topic for this list :-)

Mark
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--


Justin A. Lemkul
Ph.D. Candidate
ICTAS Doctoral Scholar
MILES-IGERT Trainee
Department of Biochemistry
Virginia Tech
Blacksburg, VA
jalemkul[at]vt.edu | (540) 231-9080
http://www.bevanlab.biochem.vt.edu/Pages/Personal/justin


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Re: [gmx-users] .pqr to .pdb

2010-12-02 Thread Maximiliano Figueroa
Hi,

if your pqr file has not coordinates, is impossible convert to PDB. What is
the format of the original file?.
However, the PQR file normally has more atoms because add hydrogens.

Can you paste a little part of your pqr and pdb?

Best regards

Maxi

On Thu, Dec 2, 2010 at 3:24 PM, mohsen ramezanpour 
ramezanpour.moh...@gmail.com wrote:

 Dear Tsjerk

 some information exist in pdb file which are not peresent in pqr and vise
 versa.
 I want to convert them to eachother in a way to conclude one's information
 to the other file.
 as you know a typical pdb file has a definite colomns and each of them
 present a definite charachter(for example charge,X-coordinate,...)
 my pqr has more atoms than original pdb,but It dosen't have any
 coordinates.
 besides converting as you said dosen't solve the problem,because PYMOL can
 not read this converted file.it needs a file who has included atoms
 coordinates

 thanks in advance for your reply
 Mohsen

 On Thu, Nov 25, 2010 at 9:44 PM, Tsjerk Wassenaar tsje...@gmail.comwrote:

 Hey,

 For this particular conversion you can also usually use 'mv':

 mv file.pqr file.pdb

 Btw, many of these file types are human readable. It usually helps quite a
 bit to look at the files and get acquainted with the file formats.

 Cheers,

 Tsjerk

 On Nov 22, 2010 12:42 PM, Mark Abraham mark.abra...@anu.edu.au wrote:

 On 22/11/2010 10:16 PM, mohsen ramezanpour wrote:   Dear  All   I had
 a pdb file who was incompl...
 Ask it for a pdb format. There should be no tool that builds atoms that
 cannot write a standard file format like PDB - particularly as PQR is a
 derivative of PDB.

 Oh, and this is a bit off-topic for this list :-)

 Mark
 --
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 http://lists.gromacs.org/mailman/listinfo/gmx-users
 Please search the archive at
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Re: [gmx-users] .pqr to .pdb

2010-12-02 Thread mohsen ramezanpour
On Thu, Dec 2, 2010 at 5:58 PM, Justin A. Lemkul jalem...@vt.edu wrote:



 mohsen ramezanpour wrote:

 Dear Tsjerk

 some information exist in pdb file which are not peresent in pqr and vise
 versa.
 I want to convert them to eachother in a way to conclude one's information
 to the other file.
 as you know a typical pdb file has a definite colomns and each of them
 present a definite charachter(for example charge,X-coordinate,...)


 Charges are not typically in .pdb files, and they certainly don't precede
 the x-coordinate.

Ok.I agree with you



  my pqr has more atoms than original pdb,but It dosen't have any
 coordinates.


 Then it sounds like you have a useless .pqr file.  The format of a proper
 .pqr file is identical to that of a .pdb file, except that in place of
 B-factor and occupancy fields, the charge and radius are given.  Thus, what
 Tsjerk told you should work, but perhaps you have a mangled input file that
 makes this impossible.


Ok.I will try to produce another .pqr file again.I think both are you are
right ,it seems to me my file is useless.
Thanks


 -Justin

  besides converting as you said dosen't solve the problem,because PYMOL can
 not read this converted file.it http://file.it needs a file who has
 included atoms coordinates


 thanks in advance for your reply
 Mohsen

 On Thu, Nov 25, 2010 at 9:44 PM, Tsjerk Wassenaar tsje...@gmail.commailto:
 tsje...@gmail.com wrote:

Hey,

For this particular conversion you can also usually use 'mv':

mv file.pqr file.pdb

Btw, many of these file types are human readable. It usually helps
quite a bit to look at the files and get acquainted with the file
formats.

Cheers,

Tsjerk

 On Nov 22, 2010 12:42 PM, Mark Abraham mark.abra...@anu.edu.au
mailto:mark.abra...@anu.edu.au wrote:

On 22/11/2010 10:16 PM, mohsen ramezanpour wrote:   Dear  All 
 I had a pdb file who was incompl...

Ask it for a pdb format. There should be no tool that builds atoms
that cannot write a standard file format like PDB - particularly
as PQR is a derivative of PDB.

Oh, and this is a bit off-topic for this list :-)

Mark
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 --
 

 Justin A. Lemkul
 Ph.D. Candidate
 ICTAS Doctoral Scholar
 MILES-IGERT Trainee
 Department of Biochemistry
 Virginia Tech
 Blacksburg, VA
 jalemkul[at]vt.edu | (540) 231-9080
 http://www.bevanlab.biochem.vt.edu/Pages/Personal/justin

 

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Re: [gmx-users] Re: individual lateral diffusion coefficients

2010-12-02 Thread Ángel Piñeiro
Hi Javier
I think I saw this in several mails of this list and it is also implicit
in the Justin tutorial for analysis of bilayers. I am not sure whether
or not this has also been published... I do not remember any paper. I
think this is reasonable for lipids in contact with membrane proteins
because only a part of the lipid could be tied to the protein... then
the diffusion for different parts of the lipid could be different.

I think I will calculate the diffusion for each lipid individually... 

If you are interested in comparing results you could contact me off the
list.

Saludos,

Ángel.




On Thu, 2010-12-02 at 14:22 +0100, Javier Cerezo wrote:

 Hi Ángel
 
 Can you provide a citation about the use of only PO4 atoms to
 calculate the diffusion constant? Is it always recommended or just
 with CG simulations? I'm also working on diffusion calculation and
 that will be interesting.
 
 By the way, regarding the index files I mentioned, it might be better
 to have a group of lipids that are at a certain distance from the
 protein in the same index, again to improve sampling (maybe this is
 not a way to improve sampling, I don't know).
 
 Thanks
 
 Javier
 
 
 El 02/12/10 13:56, Ángel Piñeiro escribió: 
 
  Hi Javier
  1.- you are right! the diff_mol.xvg file I reported was from a
  previous attempt in which I used the whole lipid molecules with the
  -mol option on, instead of the PO4 beads with -mol off. Sorry for
  this confusion
  
  2.- As I said above, I did attempts using both the whole molecule
  and the PO4 beads. Yes I saw the figure 6 in the Wolhert Edholm's
  paper but I read in several other references that the calculation is
  more accurate by using only the P atom... what makes sense to me
  mainly for the lipids which are in contact with proteins
  
  3.- I agree that removing jumps does not change anything. I decided
  to give this information in my message to avoid a reply saying try
  to remove jumps ;)
  
  4.- Yes I agree that I could do the calculation by creating an index
  for each lipid... I guess that is the safest way to proceed... 
  
  Thanks for your reply!
  
  Ángel.
  
  
  
  On Thu, 2010-12-02 at 13:30 +0100, Javier Cerezo wrote:
  
   Hello Ángel.
   
   Well, there are a some things that I don't understand about your
   calculation, but might be just a problem of mine. Here you have my
   comments:
   
   1. How do you get the diff_mol.xvg file if you are not using -mol
   in your command line input (and you index file has broken
   molecules).
   
   2. Why do you select just an atom to calculate the diffusion?
   According to Wolhert and Edholm (JCP, 125, 204703) the MSD for all
   lipids atoms reach the same slope, so I guess using them all could
   improve sampling (I'm not sure).
   
   3. I think that reprocessing of your trajectory to remove jumps is
   no longer needed (I got the same results in a recent test using
   version 4.5.1).
   
   4. What I would do to calculate D as funtion to the distance to
   the membrane protein is generate different index files containing
   lipids according to this distance (and hoping they don't move a
   lot during the simulation) and run different msd calculations. I
   think I have read in the mailing list about a script to make such
   a selection regarding distances to construct the index file or
   just make your own one.
   
   Good luck
   
   Javier  
   
   El 02/12/10 12:50, Ángel Piñeiro escribió: 
   
I want to add that the MSD as a function of time (msd.xvg file)
looks completely linear

Greetings,

Ángel Piñeiro.

On Thu, 2010-12-02 at 12:45 +0100, Ángel Piñeiro wrote:

 Dear all,
 I aim to calculate the lateral diffusion coefficients of
 lipids as a function of the distance to a membrane protein
 using the Martini force field. For this I guess I could use
 the diff_mol.xvg output file of the g_msd command which
 provides the list of diffusion coefficients for each lipid (I
 guess the lipids are ordered as in the trajectory file). Then
 I would calculate the protein-lipid distance for each lipid
 and I would generate the diffusion vs distance file. Before
 starting the calculations on the membrane protein system I
 tested the g_msd command on a DPPC bilayer. In my bilayer
 simulation I removed the COM of lipids and water separately.
 Before analyzing it I removed jumps over the box boundaries
 using trjconv -pbc nojump and I created a index file with the
 PO4 atoms as a new group. Then I executed the following
 command:
 
 g_msd -s topol.tpr -f trajnojump.xtc -n p.ndx -lateral z
 -rmcomm
 
 from which I get the following output:
 D[   PO4] 0.0958 (+/- 0.0135) 1e-5 cm^2/s
 
 I think the value is not crazy for DPPC at 323 K using
 Martini... but I noticed that the D values for the independent
 lipids reported in the diff_mol.xvg file range from 0.0021959
 to 0.482909 

Re: [gmx-users] Re: individual lateral diffusion coefficients

2010-12-02 Thread Justin A. Lemkul



Ángel Piñeiro wrote:

Hi Javier
I think I saw this in several mails of this list and it is also implicit 
in the Justin tutorial for analysis of bilayers. I am not sure whether 
or not this has also been published... I do not remember any paper. I 
think this is reasonable for lipids in contact with membrane proteins 
because only a part of the lipid could be tied to the protein... then 
the diffusion for different parts of the lipid could be different.


I think I will calculate the diffusion for each lipid individually...

If you are interested in comparing results you could contact me off the 
list.




I haven't followed this thread at all, but I saw my name come up :)  This is 
what I have always based my g_msd calculations on:


http://lists.gromacs.org/pipermail/gmx-users/2008-January/031804.html

-Justin


Saludos,

Ángel.




On Thu, 2010-12-02 at 14:22 +0100, Javier Cerezo wrote:

Hi Ángel

Can you provide a citation about the use of only PO4 atoms to 
calculate the diffusion constant? Is it always recommended or just 
with CG simulations? I'm also working on diffusion calculation and 
that will be interesting.


By the way, regarding the index files I mentioned, it might be better 
to have a group of lipids that are at a certain distance from the 
protein in the same index, again to improve sampling (maybe this is 
not a way to improve sampling, I don't know).


Thanks

Javier


El 02/12/10 13:56, Ángel Piñeiro escribió:

Hi Javier
1.- you are right! the diff_mol.xvg file I reported was from a 
previous attempt in which I used the whole lipid molecules with the 
-mol option on, instead of the PO4 beads with -mol off. Sorry for 
this confusion


2.- As I said above, I did attempts using both the whole molecule and 
the PO4 beads. Yes I saw the figure 6 in the Wolhert Edholm's paper 
but I read in several other references that the calculation is more 
accurate by using only the P atom... what makes sense to me mainly 
for the lipids which are in contact with proteins


3.- I agree that removing jumps does not change anything. I decided 
to give this information in my message to avoid a reply saying try 
to remove jumps ;)


4.- Yes I agree that I could do the calculation by creating an index 
for each lipid... I guess that is the safest way to proceed...


Thanks for your reply!

Ángel.



On Thu, 2010-12-02 at 13:30 +0100, Javier Cerezo wrote:

Hello Ángel.

Well, there are a some things that I don't understand about your 
calculation, but might be just a problem of mine. Here you have my 
comments:


1. How do you get the diff_mol.xvg file if you are not using -mol in 
your command line input (and you index file has broken molecules).


2. Why do you select just an atom to calculate the diffusion? 
According to Wolhert and Edholm (JCP, 125, 204703) the MSD for all 
lipids atoms reach the same slope, so I guess using them all could 
improve sampling (I'm not sure).


3. I think that reprocessing of your trajectory to remove jumps is 
no longer needed (I got the same results in a recent test using 
version 4.5.1).


4. What I would do to calculate D as funtion to the distance to the 
membrane protein is generate different index files containing lipids 
according to this distance (and hoping they don't move a lot during 
the simulation) and run different msd calculations. I think I have 
read in the mailing list about a script to make such a selection 
regarding distances to construct the index file or just make your 
own one.


Good luck

Javier 


El 02/12/10 12:50, Ángel Piñeiro escribió:
I want to add that the MSD as a function of time (msd.xvg file) 
looks completely linear


Greetings,

Ángel Piñeiro.

On Thu, 2010-12-02 at 12:45 +0100, Ángel Piñeiro wrote:

Dear all,
I aim to calculate the lateral diffusion coefficients of lipids as 
a function of the distance to a membrane protein using the Martini 
force field. For this I guess I could use the diff_mol.xvg output 
file of the g_msd command which provides the list of diffusion 
coefficients for each lipid (I guess the lipids are ordered as in 
the trajectory file). Then I would calculate the protein-lipid 
distance for each lipid and I would generate the diffusion vs 
distance file. Before starting the calculations on the membrane 
protein system I tested the g_msd command on a DPPC bilayer. In my 
bilayer simulation I removed the COM of lipids and water 
separately. Before analyzing it I removed jumps over the box 
boundaries using trjconv -pbc nojump and I created a index file 
with the PO4 atoms as a new group. Then I executed the following 
command:


g_msd -s topol.tpr -f trajnojump.xtc -n p.ndx -lateral z -rmcomm

from which I get the following output:
D[   PO4] 0.0958 (+/- 0.0135) 1e-5 cm^2/s

I think the value is not crazy for DPPC at 323 K using Martini... 
but I noticed that the D values for the independent lipids 
reported in the diff_mol.xvg file range from 0.0021959 to 0.482909 
cm^2/s. If the differences are so high 

Re: [gmx-users] proton proton transfer

2010-12-02 Thread Erik Marklund

Olga Ivchenko skrev 2010-12-02 13.30:

Dear gromacs users,

I want to simulate proton transfer between water and another small 
molecule in gromacs. In the end I should have the velosity of proton 
proton exchange. Please can you advice me which method is better to 
use for this in gromacs.

I read about umbrella sampling, but may be there is other techniques?

Yours sincerely,
Olga
I am working on a protocol to include proton transfer in classical 
gromacs simulations. Unfortunately it will note be ready for at least a 
month, so if you're in a hurry you'll have to do it with e.g. QM/MM.


Erik

--
---
Erik Marklund, PhD student
Dept. of Cell and Molecular Biology, Uppsala University.
Husargatan 3, Box 596,75124 Uppsala, Sweden
phone:+46 18 471 4537fax: +46 18 511 755
er...@xray.bmc.uu.sehttp://folding.bmc.uu.se/

--
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Please search the archive at 
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Re: [gmx-users] Re: individual lateral diffusion coefficients

2010-12-02 Thread Javier Cerezo

Thanks Justin.

Do you the reason behind?

I am trying following that protocol and my P curve in not as linear as 
All-lipid-atoms one (DPPC, FF: G53a6, t=50ns). Furthermore, regarding 
the linear region, the slopes are not the same. So which one do you 
think is more accurate?


Thanks again

Javier

El 02/12/10 16:09, Justin A. Lemkul escribió:



Ángel Piñeiro wrote:

Hi Javier
I think I saw this in several mails of this list and it is also 
implicit in the Justin tutorial for analysis of bilayers. I am not 
sure whether or not this has also been published... I do not remember 
any paper. I think this is reasonable for lipids in contact with 
membrane proteins because only a part of the lipid could be tied to 
the protein... then the diffusion for different parts of the lipid 
could be different.


I think I will calculate the diffusion for each lipid individually...

If you are interested in comparing results you could contact me off 
the list.




I haven't followed this thread at all, but I saw my name come up :)  
This is what I have always based my g_msd calculations on:


http://lists.gromacs.org/pipermail/gmx-users/2008-January/031804.html

-Justin


Saludos,

Ángel.




On Thu, 2010-12-02 at 14:22 +0100, Javier Cerezo wrote:

Hi Ángel

Can you provide a citation about the use of only PO4 atoms to 
calculate the diffusion constant? Is it always recommended or just 
with CG simulations? I'm also working on diffusion calculation and 
that will be interesting.


By the way, regarding the index files I mentioned, it might be 
better to have a group of lipids that are at a certain distance from 
the protein in the same index, again to improve sampling (maybe this 
is not a way to improve sampling, I don't know).


Thanks

Javier


El 02/12/10 13:56, Ángel Piñeiro escribió:

Hi Javier
1.- you are right! the diff_mol.xvg file I reported was from a 
previous attempt in which I used the whole lipid molecules with the 
-mol option on, instead of the PO4 beads with -mol off. Sorry for 
this confusion


2.- As I said above, I did attempts using both the whole molecule 
and the PO4 beads. Yes I saw the figure 6 in the Wolhert Edholm's 
paper but I read in several other references that the calculation 
is more accurate by using only the P atom... what makes sense to me 
mainly for the lipids which are in contact with proteins


3.- I agree that removing jumps does not change anything. I decided 
to give this information in my message to avoid a reply saying try 
to remove jumps ;)


4.- Yes I agree that I could do the calculation by creating an 
index for each lipid... I guess that is the safest way to proceed...


Thanks for your reply!

Ángel.



On Thu, 2010-12-02 at 13:30 +0100, Javier Cerezo wrote:

Hello Ángel.

Well, there are a some things that I don't understand about your 
calculation, but might be just a problem of mine. Here you have my 
comments:


1. How do you get the diff_mol.xvg file if you are not using -mol 
in your command line input (and you index file has broken molecules).


2. Why do you select just an atom to calculate the diffusion? 
According to Wolhert and Edholm (JCP, 125, 204703) the MSD for all 
lipids atoms reach the same slope, so I guess using them all could 
improve sampling (I'm not sure).


3. I think that reprocessing of your trajectory to remove jumps is 
no longer needed (I got the same results in a recent test using 
version 4.5.1).


4. What I would do to calculate D as funtion to the distance to 
the membrane protein is generate different index files containing 
lipids according to this distance (and hoping they don't move a 
lot during the simulation) and run different msd calculations. I 
think I have read in the mailing list about a script to make such 
a selection regarding distances to construct the index file or 
just make your own one.


Good luck

Javier
El 02/12/10 12:50, Ángel Piñeiro escribió:
I want to add that the MSD as a function of time (msd.xvg file) 
looks completely linear


Greetings,

Ángel Piñeiro.

On Thu, 2010-12-02 at 12:45 +0100, Ángel Piñeiro wrote:

Dear all,
I aim to calculate the lateral diffusion coefficients of lipids 
as a function of the distance to a membrane protein using the 
Martini force field. For this I guess I could use the 
diff_mol.xvg output file of the g_msd command which provides the 
list of diffusion coefficients for each lipid (I guess the 
lipids are ordered as in the trajectory file). Then I would 
calculate the protein-lipid distance for each lipid and I would 
generate the diffusion vs distance file. Before starting the 
calculations on the membrane protein system I tested the g_msd 
command on a DPPC bilayer. In my bilayer simulation I removed 
the COM of lipids and water separately. Before analyzing it I 
removed jumps over the box boundaries using trjconv -pbc nojump 
and I created a index file with the PO4 atoms as a new group. 
Then I executed the following command:


g_msd -s topol.tpr -f trajnojump.xtc -n 

Re: [gmx-users] Re: individual lateral diffusion coefficients

2010-12-02 Thread Javier Cerezo

Sorry for the misspell...

Thanks Justin.

Do you *know* the reason behind?

I am trying following that protocol and my P curve in not as linear as 
All-lipid-atoms one (DPPC, FF: G53a6, t=50ns). Furthermore, regarding 
the linear region, the slopes are not the same. So which one do you 
think is more accurate?


Thanks again

Javier

El 02/12/10 16:09, Justin A. Lemkul escribió:



Ángel Piñeiro wrote:

Hi Javier
I think I saw this in several mails of this list and it is also 
implicit in the Justin tutorial for analysis of bilayers. I am not 
sure whether or not this has also been published... I do not 
remember any paper. I think this is reasonable for lipids in contact 
with membrane proteins because only a part of the lipid could be 
tied to the protein... then the diffusion for different parts of 
the lipid could be different.


I think I will calculate the diffusion for each lipid individually...

If you are interested in comparing results you could contact me off 
the list.




I haven't followed this thread at all, but I saw my name come up :)  
This is what I have always based my g_msd calculations on:


http://lists.gromacs.org/pipermail/gmx-users/2008-January/031804.html

-Justin


Saludos,

Ángel.




On Thu, 2010-12-02 at 14:22 +0100, Javier Cerezo wrote:

Hi Ángel

Can you provide a citation about the use of only PO4 atoms to 
calculate the diffusion constant? Is it always recommended or just 
with CG simulations? I'm also working on diffusion calculation and 
that will be interesting.


By the way, regarding the index files I mentioned, it might be 
better to have a group of lipids that are at a certain distance 
from the protein in the same index, again to improve sampling 
(maybe this is not a way to improve sampling, I don't know).


Thanks

Javier


El 02/12/10 13:56, Ángel Piñeiro escribió:

Hi Javier
1.- you are right! the diff_mol.xvg file I reported was from a 
previous attempt in which I used the whole lipid molecules with 
the -mol option on, instead of the PO4 beads with -mol off. Sorry 
for this confusion


2.- As I said above, I did attempts using both the whole molecule 
and the PO4 beads. Yes I saw the figure 6 in the Wolhert Edholm's 
paper but I read in several other references that the calculation 
is more accurate by using only the P atom... what makes sense to 
me mainly for the lipids which are in contact with proteins


3.- I agree that removing jumps does not change anything. I 
decided to give this information in my message to avoid a reply 
saying try to remove jumps ;)


4.- Yes I agree that I could do the calculation by creating an 
index for each lipid... I guess that is the safest way to proceed...


Thanks for your reply!

Ángel.



On Thu, 2010-12-02 at 13:30 +0100, Javier Cerezo wrote:

Hello Ángel.

Well, there are a some things that I don't understand about your 
calculation, but might be just a problem of mine. Here you have 
my comments:


1. How do you get the diff_mol.xvg file if you are not using -mol 
in your command line input (and you index file has broken 
molecules).


2. Why do you select just an atom to calculate the diffusion? 
According to Wolhert and Edholm (JCP, 125, 204703) the MSD for 
all lipids atoms reach the same slope, so I guess using them all 
could improve sampling (I'm not sure).


3. I think that reprocessing of your trajectory to remove jumps 
is no longer needed (I got the same results in a recent test 
using version 4.5.1).


4. What I would do to calculate D as funtion to the distance to 
the membrane protein is generate different index files containing 
lipids according to this distance (and hoping they don't move a 
lot during the simulation) and run different msd calculations. I 
think I have read in the mailing list about a script to make such 
a selection regarding distances to construct the index file or 
just make your own one.


Good luck

Javier
El 02/12/10 12:50, Ángel Piñeiro escribió:
I want to add that the MSD as a function of time (msd.xvg file) 
looks completely linear


Greetings,

Ángel Piñeiro.

On Thu, 2010-12-02 at 12:45 +0100, Ángel Piñeiro wrote:

Dear all,
I aim to calculate the lateral diffusion coefficients of lipids 
as a function of the distance to a membrane protein using the 
Martini force field. For this I guess I could use the 
diff_mol.xvg output file of the g_msd command which provides 
the list of diffusion coefficients for each lipid (I guess the 
lipids are ordered as in the trajectory file). Then I would 
calculate the protein-lipid distance for each lipid and I would 
generate the diffusion vs distance file. Before starting the 
calculations on the membrane protein system I tested the g_msd 
command on a DPPC bilayer. In my bilayer simulation I removed 
the COM of lipids and water separately. Before analyzing it I 
removed jumps over the box boundaries using trjconv -pbc nojump 
and I created a index file with the PO4 atoms as a new group. 
Then I executed the following command:


g_msd 

Re: [gmx-users] .pqr to .pdb

2010-12-02 Thread mohsen ramezanpour
Dear Maximiliano

I reproduce my .pqr file and it has coordinate files too.
I performed what Tsjerk said and I could convert pqr tp pdb file
successfully
Thanks for all
Mohsen

On Thu, Dec 2, 2010 at 6:00 PM, Maximiliano Figueroa maxfi...@gmail.comwrote:

 Hi,

 if your pqr file has not coordinates, is impossible convert to PDB. What is
 the format of the original file?.
 However, the PQR file normally has more atoms because add hydrogens.

 Can you paste a little part of your pqr and pdb?

 Best regards

 Maxi

 On Thu, Dec 2, 2010 at 3:24 PM, mohsen ramezanpour 
 ramezanpour.moh...@gmail.com wrote:

 Dear Tsjerk

 some information exist in pdb file which are not peresent in pqr and vise
 versa.
 I want to convert them to eachother in a way to conclude one's information
 to the other file.
 as you know a typical pdb file has a definite colomns and each of them
 present a definite charachter(for example charge,X-coordinate,...)
 my pqr has more atoms than original pdb,but It dosen't have any
 coordinates.
 besides converting as you said dosen't solve the problem,because PYMOL can
 not read this converted file.it needs a file who has included atoms
 coordinates

 thanks in advance for your reply
 Mohsen

 On Thu, Nov 25, 2010 at 9:44 PM, Tsjerk Wassenaar tsje...@gmail.comwrote:

 Hey,

 For this particular conversion you can also usually use 'mv':

 mv file.pqr file.pdb

 Btw, many of these file types are human readable. It usually helps quite
 a bit to look at the files and get acquainted with the file formats.

 Cheers,

 Tsjerk

 On Nov 22, 2010 12:42 PM, Mark Abraham mark.abra...@anu.edu.au
 wrote:

 On 22/11/2010 10:16 PM, mohsen ramezanpour wrote:   Dear  All   I had
 a pdb file who was incompl...
 Ask it for a pdb format. There should be no tool that builds atoms that
 cannot write a standard file format like PDB - particularly as PQR is a
 derivative of PDB.

 Oh, and this is a bit off-topic for this list :-)

 Mark
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[gmx-users] Note on oscillation period / time step

2010-12-02 Thread Robin C. Underwood
GMX Users:

When I run grompp on methanol in water in v. 4.5.3 I get the following Note:

NOTE 1 [file methanol.top, line 73]:
  The bond in molecule-type MET between atoms 5 OA and 6 HO has an
  estimated oscillational period of 9.0e-03 ps, which is less than 10 times
  the time step of 1.0e-03 ps.
  Maybe you forgot to change the constraints mdp option.

Here is my mdp file:

;   User Robin
;   Wed Dec.1 2010
;   Input file
;
title   =  Yo
cpp =  /lib/cpp
integrator  =  md
dt  =  0.001; ps !
nsteps  =  110  ; total 1000 ps=1 ns
nstcomm =  10
; (x) coordinates, (v) is velocities, (f) is forces
; This affects traj.trr 
; these numbers shouldn't be too small (100,000), takes up disk space
nstxout =  1000
nstvout =  1000
nstfout =  1000
; Output frequency for energies
nstlog  =  100
nstenergy   =  100
; This affects .xtc file for movies this should be a fairly small number
nstxtcout   =  100
xtc-precision   =  1000
; parameters for neighbors
nstlist =  10
ns_type =  grid
rlist   =  0.9
; electrostatics
coulombtype =  pme
pme_order   =  4
ewald_rtol  =  1e-5
ewald_geometry  =  3d
epsilon_surface =  0
fourierspacing  =  0.1
fourier_nx  =  0.0
fourier_ny  =  0.0
fourier_nz  =  0.0
rcoulomb=  0.9
optimize_fft=  yes
Dispcorr=  EnerPres
vdwtype =  cutoff
rvdw_switch =  0.85
rvdw=  0.9
; Berendsen temperature coupling is on in two groups
Tcoupl  =  v_rescale
tc-grps =  system
tau_t   =  0.1
ref_t   =  300
; Energy monitoring
energygrps  =  MET  SOL
; Isotropic pressure coupling is now on
Pcoupl  =  berendsen
Pcoupltype  = isotropic
tau_p   =  0.5
compressibility =  4.5e-5
ref_p   =  1.0
; Generate velocites is off at 300 K.
gen_vel =  no
gen_temp=  300.0
gen_seed=  173529


Here is my top file:

;
;
; Include forcefield parameters
#include ffoplsaa.itp

;
; Methanol, Jorgensen et al. JACS 118 pp. 11225 (1996)
;
[ moleculetype ]
; name  nrexcl
MET 3

[ atoms ]
;   nrtype   resnr  residuatomcgnrcharge  mass
 1   opls_157   1 METC   1  0.145
 2   opls_156   1 METH   1  0.04
 3   opls_156   1 METH   1  0.04
 4   opls_156   1 METH   1  0.04
 5   opls_154   1 MET   OA   1  -0.683 
 6   opls_155   1 MET   HO   1  0.418
   
[ bonds ]
;  aiaj funct   c0   c1
1   2   1
1   3   1
1   4   1 
1   5   1
5   6   1
 
[ pairs ]
; i j   funct
2   6
3   6
4   6

[ angles ]
;  aiajak funct   c0c1
; H3
 2  1   5   1
 3  1   5   1 
 4  1   5   1
 4  1   3   1
 4  1   2   1


[ system ]
; Name
MET in water

[ molecules ]
; Compound#mols
MET   1
SOL 503


Do I need to add some sort of constraint on my methanol molecule? 

Thanks,
Robin


-- 
Robin C. Underwood
Chemistry Department
560 Oval Drive
West Lafayette, IN 47907
-- 
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Re: [gmx-users] Note on oscillation period / time step

2010-12-02 Thread Javier Cerezo

Hello.

It looks like you're missing the bonded-interactions parameters.

[ bonds ]
;  aiaj funct*R0   Kb
*1  2   1*  XX*
1   3   1*  XX*
1   4   1*  XX*
1   5   1*  XX*
5   6   1*  XX*

(also angles...)

Is it implicit somewhere? I don't know if it is automatic and if so, 
from where the parameters are taken. If it is by using atoms names and 
the ffbonded.itp from oplsaa, then atom name OA is missing in the itp file.


I think that, according to the code (grompp.c), this note may arise if 
the force constants are zero.


Javier


El 02/12/10 17:11, Robin C. Underwood escribió:

GMX Users:

When I run grompp on methanol in water in v. 4.5.3 I get the following Note:

NOTE 1 [file methanol.top, line 73]:
   The bond in molecule-type MET between atoms 5 OA and 6 HO has an
   estimated oscillational period of 9.0e-03 ps, which is less than 10 times
   the time step of 1.0e-03 ps.
   Maybe you forgot to change the constraints mdp option.

Here is my mdp file:

;   User Robin
;   Wed Dec.1 2010
;   Input file
;
title   =  Yo
cpp =  /lib/cpp
integrator  =  md
dt  =  0.001; ps !
nsteps  =  110  ; total 1000 ps=1 ns
nstcomm =  10
; (x) coordinates, (v) is velocities, (f) is forces
; This affects traj.trr
; these numbers shouldn't be too small (100,000), takes up disk space
nstxout =  1000
nstvout =  1000
nstfout =  1000
; Output frequency for energies
nstlog  =  100
nstenergy   =  100
; This affects .xtc file for movies this should be a fairly small number
nstxtcout   =  100
xtc-precision   =  1000
; parameters for neighbors
nstlist =  10
ns_type =  grid
rlist   =  0.9
; electrostatics
coulombtype =  pme
pme_order   =  4
ewald_rtol  =  1e-5
ewald_geometry  =  3d
epsilon_surface =  0
fourierspacing  =  0.1
fourier_nx  =  0.0
fourier_ny  =  0.0
fourier_nz  =  0.0
rcoulomb=  0.9
optimize_fft=  yes
Dispcorr=  EnerPres
vdwtype =  cutoff
rvdw_switch =  0.85
rvdw=  0.9
; Berendsen temperature coupling is on in two groups
Tcoupl  =  v_rescale
tc-grps =  system
tau_t   =  0.1
ref_t   =  300
; Energy monitoring
energygrps  =  MET  SOL
; Isotropic pressure coupling is now on
Pcoupl  =  berendsen
Pcoupltype  = isotropic
tau_p   =  0.5
compressibility =  4.5e-5
ref_p   =  1.0
; Generate velocites is off at 300 K.
gen_vel =  no
gen_temp=  300.0
gen_seed=  173529


Here is my top file:

;
;
; Include forcefield parameters
#include ffoplsaa.itp

;
; Methanol, Jorgensen et al. JACS 118 pp. 11225 (1996)
;
[ moleculetype ]
; name  nrexcl
MET 3

[ atoms ]
;   nrtype   resnr  residuatomcgnrcharge  mass
  1   opls_157   1 METC   1 0.145   
  2   opls_156   1 METH   1 0.04
  3   opls_156   1 METH   1 0.04
  4   opls_156   1 METH   1 0.04
  5   opls_154   1 MET   OA   1 -0.683
  6   opls_155   1 MET   HO   1 0.418

[ bonds ]
;  aiaj funct   c0   c1
1   2   1
1   3   1
1   4   1
1   5   1
5   6   1

[ pairs ]
; i j   funct
2   6
3   6
4   6

[ angles ]
;  aiajak funct   c0c1
; H3
  2 1   5   1
  3 1   5   1
  4 1   5   1
  4  1   3  1
  4 1   2   1


[ system ]
; Name
MET in water

[ molecules ]
; Compound#mols
MET   1
SOL 503


Do I need to add some sort of constraint on my methanol molecule?

Thanks,
Robin


   


--
Javier CEREZO BASTIDA
Estudiante de Doctorado
-
Dpto. Química-Física
Universidad de Murcia
30100 MURCIA (España)
Tlf.(+34)868887434

-- 
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Re: [gmx-users] Note on oscillation period / time step

2010-12-02 Thread Naga Rajesh Tummala
Robin,

Easiest way to get it running, with the flexible bond between O and H in
methane would be to decrease the time step. I would start with half a femto
second time step and see what happens.

All the best
Rajesh

On Thu, Dec 2, 2010 at 10:11 AM, Robin C. Underwood rcund...@purdue.eduwrote:

 GMX Users:

 When I run grompp on methanol in water in v. 4.5.3 I get the following
 Note:

 NOTE 1 [file methanol.top, line 73]:
  The bond in molecule-type MET between atoms 5 OA and 6 HO has an
  estimated oscillational period of 9.0e-03 ps, which is less than 10 times
  the time step of 1.0e-03 ps.
  Maybe you forgot to change the constraints mdp option.

 Here is my mdp file:

 ;   User Robin
 ;   Wed Dec.1 2010
 ;   Input file
 ;
 title   =  Yo
 cpp =  /lib/cpp
 integrator  =  md
 dt  =  0.001; ps !
 nsteps  =  110  ; total 1000 ps=1 ns
 nstcomm =  10
 ; (x) coordinates, (v) is velocities, (f) is forces
 ; This affects traj.trr
 ; these numbers shouldn't be too small (100,000), takes up disk space
 nstxout =  1000
 nstvout =  1000
 nstfout =  1000
 ; Output frequency for energies
 nstlog  =  100
 nstenergy   =  100
 ; This affects .xtc file for movies this should be a fairly small number
 nstxtcout   =  100
 xtc-precision   =  1000
 ; parameters for neighbors
 nstlist =  10
 ns_type =  grid
 rlist   =  0.9
 ; electrostatics
 coulombtype =  pme
 pme_order   =  4
 ewald_rtol  =  1e-5
 ewald_geometry  =  3d
 epsilon_surface =  0
 fourierspacing  =  0.1
 fourier_nx  =  0.0
 fourier_ny  =  0.0
 fourier_nz  =  0.0
 rcoulomb=  0.9
 optimize_fft=  yes
 Dispcorr=  EnerPres
 vdwtype =  cutoff
 rvdw_switch =  0.85
 rvdw=  0.9
 ; Berendsen temperature coupling is on in two groups
 Tcoupl  =  v_rescale
 tc-grps =  system
 tau_t   =  0.1
 ref_t   =  300
 ; Energy monitoring
 energygrps  =  MET  SOL
 ; Isotropic pressure coupling is now on
 Pcoupl  =  berendsen
 Pcoupltype  = isotropic
 tau_p   =  0.5
 compressibility =  4.5e-5
 ref_p   =  1.0
 ; Generate velocites is off at 300 K.
 gen_vel =  no
 gen_temp=  300.0
 gen_seed=  173529


 Here is my top file:

 ;
 ;
 ; Include forcefield parameters
 #include ffoplsaa.itp

 ;
 ; Methanol, Jorgensen et al. JACS 118 pp. 11225 (1996)
 ;
 [ moleculetype ]
 ; name  nrexcl
 MET 3

 [ atoms ]
 ;   nrtype   resnr  residuatomcgnrcharge  mass
 1   opls_157   1 METC   1  0.145
 2   opls_156   1 METH   1  0.04
 3   opls_156   1 METH   1  0.04
 4   opls_156   1 METH   1  0.04
 5   opls_154   1 MET   OA   1  -0.683
 6   opls_155   1 MET   HO   1  0.418

 [ bonds ]
 ;  aiaj funct   c0   c1
 1   2   1
 1   3   1
 1   4   1
 1   5   1
 5   6   1

 [ pairs ]
 ; i j   funct
 2   6
 3   6
 4   6

 [ angles ]
 ;  aiajak funct   c0c1
 ; H3
  2  1   5   1
  3  1   5   1
  4  1   5   1
  4  1   3   1
  4  1   2   1


 [ system ]
 ; Name
 MET in water

 [ molecules ]
 ; Compound#mols
 MET   1
 SOL 503


 Do I need to add some sort of constraint on my methanol molecule?

 Thanks,
 Robin


 --
 Robin C. Underwood
 Chemistry Department
 560 Oval Drive
 West Lafayette, IN 47907
 --
 gmx-users mailing listgmx-users@gromacs.org
 http://lists.gromacs.org/mailman/listinfo/gmx-users
 Please search the archive at
 http://www.gromacs.org/Support/Mailing_Lists/Search before posting!
 Please don't post (un)subscribe requests to the list. Use the
 www interface or send it to gmx-users-requ...@gromacs.org.
 Can't post? Read http://www.gromacs.org/Support/Mailing_Lists




-- 
Naga Rajesh Tummala, PhD
School of Chemical, Biological, and Materials Engineering
University of Oklahoma
-- 
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Re: [gmx-users] Note on oscillation period / time step

2010-12-02 Thread Justin A. Lemkul



Javier Cerezo wrote:

Hello.

It looks like you're missing the bonded-interactions parameters.

[ bonds ]
;  aiaj funct   *R0   Kb
*1  2   1  * XX*
1   3   1  * XX*
1   4   1  * XX*
1   5   1  * XX*
5   6   1  * XX*

(also angles...)

Is it implicit somewhere? I don't know if it is automatic and if so, 
from where the parameters are taken. If it is by using atoms names and 
the ffbonded.itp from oplsaa, then atom name OA is missing in the itp file.


I think that, according to the code (grompp.c), this note may arise if 
the force constants are zero.




Atom types are interpolated from ffbonded.itp and assigned.  If the problem were 
in the bonded parameters, a very different fatal error arises.  There is no 
problem here.


-Justin


Javier


El 02/12/10 17:11, Robin C. Underwood escribió:

GMX Users:

When I run grompp on methanol in water in v. 4.5.3 I get the following Note:

NOTE 1 [file methanol.top, line 73]:
  The bond in molecule-type MET between atoms 5 OA and 6 HO has an
  estimated oscillational period of 9.0e-03 ps, which is less than 10 times
  the time step of 1.0e-03 ps.
  Maybe you forgot to change the constraints mdp option.

Here is my mdp file:

;   User Robin
;   Wed Dec.1 2010
;   Input file
;
title   =  Yo
cpp =  /lib/cpp
integrator  =  md
dt  =  0.001; ps !
nsteps  =  110  ; total 1000 ps=1 ns
nstcomm =  10
; (x) coordinates, (v) is velocities, (f) is forces
; This affects traj.trr 
; these numbers shouldn't be too small (100,000), takes up disk space

nstxout =  1000
nstvout =  1000
nstfout =  1000
; Output frequency for energies
nstlog  =  100
nstenergy   =  100
; This affects .xtc file for movies this should be a fairly small number
nstxtcout   =  100
xtc-precision   =  1000
; parameters for neighbors
nstlist =  10
ns_type =  grid
rlist   =  0.9
; electrostatics
coulombtype =  pme
pme_order   =  4
ewald_rtol  =  1e-5
ewald_geometry  =  3d
epsilon_surface =  0
fourierspacing  =  0.1
fourier_nx  =  0.0
fourier_ny  =  0.0
fourier_nz  =  0.0
rcoulomb=  0.9
optimize_fft=  yes
Dispcorr=  EnerPres
vdwtype =  cutoff
rvdw_switch =  0.85
rvdw=  0.9
; Berendsen temperature coupling is on in two groups
Tcoupl  =  v_rescale
tc-grps =  system
tau_t   =  0.1
ref_t   =  300
; Energy monitoring
energygrps  =  MET  SOL
; Isotropic pressure coupling is now on
Pcoupl  =  berendsen
Pcoupltype  = isotropic
tau_p   =  0.5
compressibility =  4.5e-5
ref_p   =  1.0
; Generate velocites is off at 300 K.
gen_vel =  no
gen_temp=  300.0
gen_seed=  173529


Here is my top file:

;
;
; Include forcefield parameters
#include ffoplsaa.itp

;
; Methanol, Jorgensen et al. JACS 118 pp. 11225 (1996)
;
[ moleculetype ]
; name  nrexcl
MET 3

[ atoms ]
;   nrtype   resnr  residuatomcgnrcharge  mass
 1   opls_157   1 METC   1	0.145	 
 2   opls_156   1 METH   1	0.04	

 3   opls_156   1 METH   1  0.04
 4   opls_156   1 METH   1  0.04
 5   opls_154   1 MET   OA   1	-0.683 
 6   opls_155   1 MET   HO   1	0.418
   
[ bonds ]

;  aiaj funct   c0   c1
1   2   1
1   3   1
1	4	1 
1	5	1

5   6   1
 
[ pairs ]

; i j   funct
2   6
3   6
4   6

[ angles ]
;  aiajak funct   c0c1
; H3
 2  1   5   1
 3	1	5 	1 
 4	1	5	1

 4  1   3   1
 4  1   2   1


[ system ]
; Name
MET in water

[ molecules ]
; Compound#mols
MET   1
SOL 503


Do I need to add some sort of constraint on my methanol molecule? 


Thanks,
Robin


  


--
Javier CEREZO BASTIDA
Estudiante de Doctorado
-
Dpto. Química-Física
Universidad de Murcia
30100 MURCIA (España)
Tlf.(+34)868887434



--


Justin A. Lemkul
Ph.D. Candidate
ICTAS Doctoral Scholar
MILES-IGERT Trainee
Department of Biochemistry
Virginia Tech
Blacksburg, VA
jalemkul[at]vt.edu | (540) 231-9080
http://www.bevanlab.biochem.vt.edu/Pages/Personal/justin


--
gmx-users mailing listgmx-users@gromacs.org
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Please search the archive at 
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Re: [gmx-users] individual lateral diffusion coefficients

2010-12-02 Thread Justin A. Lemkul



Ángel Piñeiro wrote:

Dear all,
I aim to calculate the lateral diffusion coefficients of lipids as a 
function of the distance to a membrane protein using the Martini force 
field. For this I guess I could use the diff_mol.xvg output file of the 
g_msd command which provides the list of diffusion coefficients for each 
lipid (I guess the lipids are ordered as in the trajectory file). Then I 
would calculate the protein-lipid distance for each lipid and I would 
generate the diffusion vs distance file. Before starting the 
calculations on the membrane protein system I tested the g_msd command 
on a DPPC bilayer. In my bilayer simulation I removed the COM of lipids 
and water separately. Before analyzing it I removed jumps over the box 
boundaries using trjconv -pbc nojump and I created a index file with the 
PO4 atoms as a new group. Then I executed the following command:


g_msd -s topol.tpr -f trajnojump.xtc -n p.ndx -lateral z -rmcomm

from which I get the following output:
D[   PO4] 0.0958 (+/- 0.0135) 1e-5 cm^2/s

I think the value is not crazy for DPPC at 323 K using Martini... but I 
noticed that the D values for the independent lipids reported in the 
diff_mol.xvg file range from 0.0021959 to 0.482909 cm^2/s. If the 
differences are so high for a single lipid bilayer I suspect that I will 
not observe significant differences as a function of the distance to the 
protein in my simulations of the whole system... probably I am doing 
something wrong¿?




In my experience, this is to be expected.  To calculate reliable diffusion 
coefficients, you need very well-converged data, and for individual lipids, this 
effect is even more pronounced.  How long is your trajectory, and how often did 
you save snapshots?


Note too, that the results of g_msd can be impacted by -trestart, -beginfit, 
-endfit, etc.


-Justin


Thanks for any advice

Ángel Piñeiro.



--


Justin A. Lemkul
Ph.D. Candidate
ICTAS Doctoral Scholar
MILES-IGERT Trainee
Department of Biochemistry
Virginia Tech
Blacksburg, VA
jalemkul[at]vt.edu | (540) 231-9080
http://www.bevanlab.biochem.vt.edu/Pages/Personal/justin


--
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Re: [gmx-users] Re: individual lateral diffusion coefficients

2010-12-02 Thread Justin A. Lemkul



Javier Cerezo wrote:

Thanks Justin.

Do you the reason behind?

I am trying following that protocol and my P curve in not as linear as 
All-lipid-atoms one (DPPC, FF: G53a6, t=50ns). Furthermore, regarding 
the linear region, the slopes are not the same. So which one do you 
think is more accurate?




I don't know.  50 ns is somewhat short, I think.  You might have better luck 
with longer trajectories (100 ns).  In principle (and in a perfect world), all 
force fields would agree, but in reality, this is not the case.  Some models may 
simply perform better than others.


-Justin


Thanks again

Javier

El 02/12/10 16:09, Justin A. Lemkul escribió:



Ángel Piñeiro wrote:

Hi Javier
I think I saw this in several mails of this list and it is also 
implicit in the Justin tutorial for analysis of bilayers. I am not 
sure whether or not this has also been published... I do not remember 
any paper. I think this is reasonable for lipids in contact with 
membrane proteins because only a part of the lipid could be tied to 
the protein... then the diffusion for different parts of the lipid 
could be different.


I think I will calculate the diffusion for each lipid individually...

If you are interested in comparing results you could contact me off 
the list.




I haven't followed this thread at all, but I saw my name come up :)  
This is what I have always based my g_msd calculations on:


http://lists.gromacs.org/pipermail/gmx-users/2008-January/031804.html

-Justin


Saludos,

Ángel.




On Thu, 2010-12-02 at 14:22 +0100, Javier Cerezo wrote:

Hi Ángel

Can you provide a citation about the use of only PO4 atoms to 
calculate the diffusion constant? Is it always recommended or just 
with CG simulations? I'm also working on diffusion calculation and 
that will be interesting.


By the way, regarding the index files I mentioned, it might be 
better to have a group of lipids that are at a certain distance from 
the protein in the same index, again to improve sampling (maybe this 
is not a way to improve sampling, I don't know).


Thanks

Javier


El 02/12/10 13:56, Ángel Piñeiro escribió:

Hi Javier
1.- you are right! the diff_mol.xvg file I reported was from a 
previous attempt in which I used the whole lipid molecules with the 
-mol option on, instead of the PO4 beads with -mol off. Sorry for 
this confusion


2.- As I said above, I did attempts using both the whole molecule 
and the PO4 beads. Yes I saw the figure 6 in the Wolhert Edholm's 
paper but I read in several other references that the calculation 
is more accurate by using only the P atom... what makes sense to me 
mainly for the lipids which are in contact with proteins


3.- I agree that removing jumps does not change anything. I decided 
to give this information in my message to avoid a reply saying try 
to remove jumps ;)


4.- Yes I agree that I could do the calculation by creating an 
index for each lipid... I guess that is the safest way to proceed...


Thanks for your reply!

Ángel.



On Thu, 2010-12-02 at 13:30 +0100, Javier Cerezo wrote:

Hello Ángel.

Well, there are a some things that I don't understand about your 
calculation, but might be just a problem of mine. Here you have my 
comments:


1. How do you get the diff_mol.xvg file if you are not using -mol 
in your command line input (and you index file has broken molecules).


2. Why do you select just an atom to calculate the diffusion? 
According to Wolhert and Edholm (JCP, 125, 204703) the MSD for all 
lipids atoms reach the same slope, so I guess using them all could 
improve sampling (I'm not sure).


3. I think that reprocessing of your trajectory to remove jumps is 
no longer needed (I got the same results in a recent test using 
version 4.5.1).


4. What I would do to calculate D as funtion to the distance to 
the membrane protein is generate different index files containing 
lipids according to this distance (and hoping they don't move a 
lot during the simulation) and run different msd calculations. I 
think I have read in the mailing list about a script to make such 
a selection regarding distances to construct the index file or 
just make your own one.


Good luck

Javier
El 02/12/10 12:50, Ángel Piñeiro escribió:
I want to add that the MSD as a function of time (msd.xvg file) 
looks completely linear


Greetings,

Ángel Piñeiro.

On Thu, 2010-12-02 at 12:45 +0100, Ángel Piñeiro wrote:

Dear all,
I aim to calculate the lateral diffusion coefficients of lipids 
as a function of the distance to a membrane protein using the 
Martini force field. For this I guess I could use the 
diff_mol.xvg output file of the g_msd command which provides the 
list of diffusion coefficients for each lipid (I guess the 
lipids are ordered as in the trajectory file). Then I would 
calculate the protein-lipid distance for each lipid and I would 
generate the diffusion vs distance file. Before starting the 
calculations on the membrane protein system I tested the g_msd 
command on a DPPC 

Re: [gmx-users] Re: individual lateral diffusion coefficients

2010-12-02 Thread XAvier Periole


Dear Angel,

I agree with Justin comments and I might add:

Taken from the marrink-2004JPC martini paper:
Microsecond simulations of the bilayer containing 256
DPPC molecules allows the observation of truely long
time diffusive behavior. At T = 323 K, the lateral diffusion
rates of DPPC equals 3 +/-1 10-7 cm2 s-1, of the same
order of magnitude as experimentally measured (values
are typically reported to be around 1 10-7 cm2 s-1 at
temperatures close to 323 K; e.g., see refs 38 and 39)

Here a factor 4 is used to scale the CG dynamics, your
simulation is fine. I am however surprised by the variance of
your individual lipids ... the length of your simulation might
be the reason ...

We have looked at lipid/protein interaction with Martini
quite a lot and convergence is reached after a few
microseconds and a multitude of exchanges of lipids
between contacts with the protein and the bulk. You'd
then have the issue of which lipid to consider in which
section ... not a trivial choice.

XAvier.

On Dec 2, 2010, at 12:50 PM, Ángel Piñeiro wrote:

I want to add that the MSD as a function of time (msd.xvg file)  
looks completely linear


Greetings,

Ángel Piñeiro.

On Thu, 2010-12-02 at 12:45 +0100, Ángel Piñeiro wrote:

Dear all,
I aim to calculate the lateral diffusion coefficients of lipids as  
a function of the distance to a membrane protein using the Martini  
force field. For this I guess I could use the diff_mol.xvg output  
file of the g_msd command which provides the list of diffusion  
coefficients for each lipid (I guess the lipids are ordered as in  
the trajectory file). Then I would calculate the protein-lipid  
distance for each lipid and I would generate the diffusion vs  
distance file. Before starting the calculations on the membrane  
protein system I tested the g_msd command on a DPPC bilayer. In my  
bilayer simulation I removed the COM of lipids and water  
separately. Before analyzing it I removed jumps over the box  
boundaries using trjconv -pbc nojump and I created a index file  
with the PO4 atoms as a new group. Then I executed the following  
command:


g_msd -s topol.tpr -f trajnojump.xtc -n p.ndx -lateral z -rmcomm

from which I get the following output:
D[   PO4] 0.0958 (+/- 0.0135) 1e-5 cm^2/s

I think the value is not crazy for DPPC at 323 K using Martini...  
but I noticed that the D values for the independent lipids reported  
in the diff_mol.xvg file range from 0.0021959 to 0.482909 cm^2/s.  
If the differences are so high for a single lipid bilayer I suspect  
that I will not observe significant differences as a function of  
the distance to the protein in my simulations of the whole  
system... probably I am doing something wrong¿?


Thanks for any advice

Ángel Piñeiro.


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Re: [gmx-users] Note on oscillation period / time step

2010-12-02 Thread Javier Cerezo


El 02/12/10 19:02, Justin A. Lemkul escribió:



Javier Cerezo wrote:

Hello.

It looks like you're missing the bonded-interactions parameters.

[ bonds ]
;  aiaj funct   *R0   Kb
*121  * XX*
131  * XX*
141  * XX*
151  * XX*
561  * XX*

(also angles...)

Is it implicit somewhere? I don't know if it is automatic and if so, 
from where the parameters are taken. If it is by using atoms names 
and the ffbonded.itp from oplsaa, then atom name OA is missing in the 
itp file.


I think that, according to the code (grompp.c), this note may arise 
if the force constants are zero.




Atom types are interpolated from ffbonded.itp and assigned.  If the 
problem were in the bonded parameters, a very different fatal error 
arises.  There is no problem here.
I see it now, the stimated frequency fits with the force constat in 
ffbonded.itp and masses in ffnonbonded.itp.

Thanks

(That's a nice new check in grompp, by the way.)


-Justin


Javier


El 02/12/10 17:11, Robin C. Underwood escribió:

GMX Users:

When I run grompp on methanol in water in v. 4.5.3 I get the 
following Note:


NOTE 1 [file methanol.top, line 73]:
  The bond in molecule-type MET between atoms 5 OA and 6 HO has an
  estimated oscillational period of 9.0e-03 ps, which is less than 
10 times

  the time step of 1.0e-03 ps.
  Maybe you forgot to change the constraints mdp option.

Here is my mdp file:

;User Robin
;Wed Dec.1 2010
;Input file
;
title   =  Yo
cpp =  /lib/cpp
integrator  =  md
dt  =  0.001; ps !
nsteps  =  110; total 1000 ps=1 ns
nstcomm =  10
; (x) coordinates, (v) is velocities, (f) is forces
; This affects traj.trr ; these numbers shouldn't be too small 
(100,000), takes up disk space

nstxout =  1000
nstvout =  1000
nstfout =  1000
; Output frequency for energies
nstlog  =  100
nstenergy   =  100
; This affects .xtc file for movies this should be a fairly small 
number

nstxtcout   =  100
xtc-precision   =  1000
; parameters for neighbors
nstlist =  10
ns_type =  grid
rlist   =  0.9
; electrostatics
coulombtype=  pme
pme_order=  4
ewald_rtol =  1e-5
ewald_geometry  =  3d
epsilon_surface =  0
fourierspacing=  0.1
fourier_nx  =  0.0
fourier_ny  =  0.0
fourier_nz  =  0.0
rcoulomb=  0.9
optimize_fft=  yes
Dispcorr=  EnerPres
vdwtype=  cutoff
rvdw_switch=  0.85
rvdw=  0.9
; Berendsen temperature coupling is on in two groups
Tcoupl  =  v_rescale
tc-grps=  system
tau_t   =  0.1
ref_t   =  300
; Energy monitoring
energygrps  =  MET  SOL
; Isotropic pressure coupling is now on
Pcoupl  =  berendsen
Pcoupltype  = isotropic
tau_p   =  0.5
compressibility =  4.5e-5
ref_p   =  1.0
; Generate velocites is off at 300 K.
gen_vel =  no
gen_temp=  300.0
gen_seed=  173529


Here is my top file:

;
;
; Include forcefield parameters
#include ffoplsaa.itp

;
; Methanol, Jorgensen et al. JACS 118 pp. 11225 (1996)
;
[ moleculetype ]
; name  nrexcl
MET3

[ atoms ]
;   nrtype   resnr  residuatomcgnr
charge  mass
 1   opls_157   1 METC   10.145 
 2   opls_156   1 METH   10.04

 3   opls_156   1 METH   10.04
 4   opls_156   1 METH   10.04
 5   opls_154   1 MET   OA   1-0.683 
 6   opls_155   1 MET   HO   10.418

   [ bonds ]
;  aiaj funct   c0   c1
121
131
141 151
561

[ pairs ]
; ijfunct
26
36
46

[ angles ]
;  aiajak funct   c0c1
; H3
 2151
 315 1  4151
 4  1   3 1
 4121


[ system ]
; Name
MET in water

[ molecules ]
; Compound#mols
MET   1
SOL503


Do I need to add some sort of constraint on my methanol molecule?
Thanks,
Robin




--
Javier CEREZO BASTIDA
Estudiante de Doctorado
-
Dpto. Química-Física
Universidad de Murcia
30100 MURCIA (España)
Tlf.(+34)868887434





--
Javier CEREZO BASTIDA
Estudiante de Doctorado
-
Dpto. Química-Física
Universidad de Murcia
30100 MURCIA (España)
Tlf.(+34)868887434

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[gmx-users] Re: Note on oscillation period / time step

2010-12-02 Thread Robin C. Underwood
Thanks for all the responses. After rechecking my top and manually inputting
the [ ...types ] fields, the note remains. It is not clear to me whether I need
to modify my top file or add some additional constraint (either in the top or
mdp). Is it OK to have a bond oscillation period of this magnitude relative to
my timestep? I've not seen this note in previous versions.


Robin


Javier Cerezo wrote:
 Hello.

 It looks like you're missing the bonded-interactions parameters.

 [ bonds ]
 ;  aiaj funct   *R0   Kb
 *12   1  * XX*
 1 3   1  * XX*
 1 4   1  * XX*
 1 5   1  * XX*
 5 6   1  * XX*

 (also angles...)

 Is it implicit somewhere? I don't know if it is automatic and if so,
 from where the parameters are taken. If it is by using atoms names and
 the ffbonded.itp from oplsaa, then atom name OA is missing in the itp file.

 I think that, according to the code (grompp.c), this note may arise if
 the force constants are zero.


Atom types are interpolated from ffbonded.itp and assigned.  If the problem were
in the bonded parameters, a very different fatal error arises.  There is no
problem here.

-Justin

 Javier


 El 02/12/10 17:11, Robin C. Underwood escribió:
 GMX Users:

 When I run grompp on methanol in water in v. 4.5.3 I get the following Note:

 NOTE 1 [file methanol.top, line 73]:
   The bond in molecule-type MET between atoms 5 OA and 6 HO has an
   estimated oscillational period of 9.0e-03 ps, which is less than 10 times
   the time step of 1.0e-03 ps.
   Maybe you forgot to change the constraints mdp option.

 Here is my mdp file:

 ;User Robin
 ;Wed Dec.1 2010
 ;Input file
 ;
 title   =  Yo
 cpp =  /lib/cpp
 integrator  =  md
 dt  =  0.001 ; ps !
 nsteps  =  110   ; total 1000 ps=1 ns
 nstcomm =  10
 ; (x) coordinates, (v) is velocities, (f) is forces
 ; This affects traj.trr
 ; these numbers shouldn't be too small (100,000), takes up disk space
 nstxout =  1000
 nstvout =  1000
 nstfout =  1000
 ; Output frequency for energies
 nstlog  =  100
 nstenergy   =  100
 ; This affects .xtc file for movies this should be a fairly small number
 nstxtcout   =  100
 xtc-precision   =  1000
 ; parameters for neighbors
 nstlist =  10
 ns_type =  grid
 rlist   =  0.9
 ; electrostatics
 coulombtype  =  pme
 pme_order=  4
 ewald_rtol   =  1e-5
 ewald_geometry  =  3d
 epsilon_surface =  0
 fourierspacing   =  0.1
 fourier_nx  =  0.0
 fourier_ny  =  0.0
 fourier_nz  =  0.0
 rcoulomb=  0.9
 optimize_fft=  yes
 Dispcorr =  EnerPres
 vdwtype  =  cutoff
 rvdw_switch  =  0.85
 rvdw=  0.9
 ; Berendsen temperature coupling is on in two groups
 Tcoupl  =  v_rescale
 tc-grps  =  system
 tau_t   =  0.1
 ref_t   =  300
 ; Energy monitoring
 energygrps  =  MET  SOL
 ; Isotropic pressure coupling is now on
 Pcoupl  =  berendsen
 Pcoupltype  = isotropic
 tau_p   =  0.5
 compressibility =  4.5e-5
 ref_p   =  1.0
 ; Generate velocites is off at 300 K.
 gen_vel =  no
 gen_temp=  300.0
 gen_seed=  173529


 Here is my top file:

 ;
 ;
 ; Include forcefield parameters
 #include ffoplsaa.itp

 ;
 ; Methanol, Jorgensen et al. JACS 118 pp. 11225 (1996)
 ;
 [ moleculetype ]
 ; name  nrexcl
 MET  3

 [ atoms ]
 ;   nrtype   resnr  residuatomcgnrcharge  mass
  1   opls_157   1 METC   1   0.145
  2   opls_156   1 METH   1   0.04
  3   opls_156   1 METH   1   0.04
  4   opls_156   1 METH   1   0.04
  5   opls_154   1 MET   OA   1   -0.683
  6   opls_155   1 MET   HO   1   0.418

 [ bonds ]
 ;  aiaj funct   c0   c1
 12   1
 13   1
 14   1
 15   1
 56   1

 [ pairs ]
 ; i  j   funct
 26
 36
 46

 [ angles ]
 ;  aiajak funct   c0c1
 ; H3
  2   1   5   1
  3   1   5   1
  4   1   5   1
  4  1   31
  4   1   2   1


 [ system ]
 ; Name
 MET in water

 [ molecules ]
 ; Compound#mols
 MET   1
 SOL  503


 Do I need to add some sort of constraint on my methanol molecule?

 Thanks,
 Robin




 --
 Javier CEREZO BASTIDA
 Estudiante de Doctorado
 -
 Dpto. Química-Física
 Universidad de Murcia
 30100 MURCIA (España)
 

RE: [gmx-users] Re: individual lateral diffusion coefficients

2010-12-02 Thread Dallas Warren
It seems to me that it will be for the reasons mentioned in the paper 
http://dx.doi.org/10.1063/1.2393240 http://dx.doi.org/10.1063/1.2393240 

 

By focusing on the phosphate atom, you are measuring the actual movement of the 
entire lipid molecule within the membrane, which is the diffusion that is 
measured typically experimentally.  If you use the entire molecule, then you 
get the movement of the alkane chains as well, which increase the diffusion 
coefficient by more than a factor of ten.

 

Catch ya,

Dr. Dallas Warren

Medicinal Chemistry and Drug Action

Monash Institute of Pharmaceutical Sciences, Monash University
381 Royal Parade, Parkville VIC 3010
dallas.war...@monash.edu

+61 3 9903 9304
-
When the only tool you own is a hammer, every problem begins to resemble a 
nail. 

 

From: gmx-users-boun...@gromacs.org [mailto:gmx-users-boun...@gromacs.org] On 
Behalf Of Javier Cerezo
Sent: Friday, 3 December 2010 2:46 AM
To: gmx-users@gromacs.org
Subject: Re: [gmx-users] Re: individual lateral diffusion coefficients

 

Sorry for the misspell...



Thanks Justin. 

Do you know the reason behind? 

I am trying following that protocol and my P curve in not as linear as 
All-lipid-atoms one (DPPC, FF: G53a6, t=50ns). Furthermore, regarding the 
linear region, the slopes are not the same. So which one do you think is more 
accurate? 

Thanks again 

Javier 

El 02/12/10 16:09, Justin A. Lemkul escribió: 





Ángel Piñeiro wrote: 



Hi Javier 
I think I saw this in several mails of this list and it is also implicit in the 
Justin tutorial for analysis of bilayers. I am not sure whether or not this has 
also been published... I do not remember any paper. I think this is reasonable 
for lipids in contact with membrane proteins because only a part of the lipid 
could be tied to the protein... then the diffusion for different parts of the 
lipid could be different. 

I think I will calculate the diffusion for each lipid individually... 

If you are interested in comparing results you could contact me off the list. 


I haven't followed this thread at all, but I saw my name come up :)  This is 
what I have always based my g_msd calculations on: 

http://lists.gromacs.org/pipermail/gmx-users/2008-January/031804.html 

-Justin 




Saludos, 

Ángel. 




On Thu, 2010-12-02 at 14:22 +0100, Javier Cerezo wrote: 



Hi Ángel 

Can you provide a citation about the use of only PO4 atoms to calculate the 
diffusion constant? Is it always recommended or just with CG simulations? I'm 
also working on diffusion calculation and that will be interesting. 

By the way, regarding the index files I mentioned, it might be better to have a 
group of lipids that are at a certain distance from the protein in the same 
index, again to improve sampling (maybe this is not a way to improve sampling, 
I don't know). 

Thanks 

Javier 


El 02/12/10 13:56, Ángel Piñeiro escribió: 



Hi Javier 
1.- you are right! the diff_mol.xvg file I reported was from a previous attempt 
in which I used the whole lipid molecules with the -mol option on, instead of 
the PO4 beads with -mol off. Sorry for this confusion 

2.- As I said above, I did attempts using both the whole molecule and the PO4 
beads. Yes I saw the figure 6 in the Wolhert Edholm's paper but I read in 
several other references that the calculation is more accurate by using only 
the P atom... what makes sense to me mainly for the lipids which are in contact 
with proteins 

3.- I agree that removing jumps does not change anything. I decided to give 
this information in my message to avoid a reply saying try to remove jumps ;) 

4.- Yes I agree that I could do the calculation by creating an index for each 
lipid... I guess that is the safest way to proceed... 

Thanks for your reply! 

Ángel. 



On Thu, 2010-12-02 at 13:30 +0100, Javier Cerezo wrote: 



Hello Ángel. 

Well, there are a some things that I don't understand about your calculation, 
but might be just a problem of mine. Here you have my comments: 

1. How do you get the diff_mol.xvg file if you are not using -mol in your 
command line input (and you index file has broken molecules). 

2. Why do you select just an atom to calculate the diffusion? According to 
Wolhert and Edholm (JCP, 125, 204703) the MSD for all lipids atoms reach the 
same slope, so I guess using them all could improve sampling (I'm not sure). 

3. I think that reprocessing of your trajectory to remove jumps is no longer 
needed (I got the same results in a recent test using version 4.5.1). 

4. What I would do to calculate D as funtion to the distance to the membrane 
protein is generate different index files containing lipids according to this 
distance (and hoping they don't move a lot during the simulation) and run 
different msd calculations. I think I have read in the mailing list about a 
script to make such a selection regarding distances to construct the index file 
or just make your own one. 

Good luck 

Re: [gmx-users] Re: individual lateral diffusion coefficients

2010-12-02 Thread Javier Cerezo

Hi.

I think that these arguments are given for short-time diffusion (D1). 
But at larger times all MSD curves reach the same slope, so all of them 
have the same brownian diffusion (D2).


Then, I wonder if taking all the atoms, which means more points to 
average, will results in better statistics and thus better results (even 
for not such a long times). Does it make sense or am I overseeing 
fundamental physical meaning?


Thanks

Javier

Dallas Warren escribió:


It seems to me that it will be for the reasons mentioned in the paper 
http://dx.doi.org/10.1063/1.2393240 http://dx.doi.org/10.1063/1.2393240


 

By focusing on the phosphate atom, you are measuring the actual 
movement of the entire lipid molecule within the membrane, which is 
the diffusion that is measured typically experimentally.  If you use 
the entire molecule, then you get the movement of the alkane chains as 
well, which increase the diffusion coefficient by more than a factor 
of ten.


 


Catch ya,

Dr. Dallas Warren

Medicinal Chemistry and Drug Action

Monash Institute of Pharmaceutical Sciences, Monash University
381 Royal Parade, Parkville VIC 3010
dallas.war...@monash.edu

+61 3 9903 9304
-
When the only tool you own is a hammer, every problem begins to 
resemble a nail.


 

*From:* gmx-users-boun...@gromacs.org 
[mailto:gmx-users-boun...@gromacs.org] *On Behalf Of *Javier Cerezo

*Sent:* Friday, 3 December 2010 2:46 AM
*To:* gmx-users@gromacs.org
*Subject:* Re: [gmx-users] Re: individual lateral diffusion coefficients

 


Sorry for the misspell...

Thanks Justin.

Do you *know* the reason behind?

I am trying following that protocol and my P curve in not as linear as 
All-lipid-atoms one (DPPC, FF: G53a6, t=50ns). Furthermore, regarding 
the linear region, the slopes are not the same. So which one do you 
think is more accurate?


Thanks again

Javier

El 02/12/10 16:09, Justin A. Lemkul escribió:



Ángel Piñeiro wrote:

Hi Javier
I think I saw this in several mails of this list and it is also 
implicit in the Justin tutorial for analysis of bilayers. I am not 
sure whether or not this has also been published... I do not remember 
any paper. I think this is reasonable for lipids in contact with 
membrane proteins because only a part of the lipid could be tied to 
the protein... then the diffusion for different parts of the lipid 
could be different.


I think I will calculate the diffusion for each lipid individually...

If you are interested in comparing results you could contact me off 
the list.



I haven't followed this thread at all, but I saw my name come up :)  
This is what I have always based my g_msd calculations on:


http://lists.gromacs.org/pipermail/gmx-users/2008-January/031804.html

-Justin


Saludos,

Ángel.




On Thu, 2010-12-02 at 14:22 +0100, Javier Cerezo wrote:

Hi Ángel

Can you provide a citation about the use of only PO4 atoms to 
calculate the diffusion constant? Is it always recommended or just 
with CG simulations? I'm also working on diffusion calculation and 
that will be interesting.


By the way, regarding the index files I mentioned, it might be better 
to have a group of lipids that are at a certain distance from the 
protein in the same index, again to improve sampling (maybe this is 
not a way to improve sampling, I don't know).


Thanks

Javier


El 02/12/10 13:56, Ángel Piñeiro escribió:

Hi Javier
1.- you are right! the diff_mol.xvg file I reported was from a 
previous attempt in which I used the whole lipid molecules with the 
-mol option on, instead of the PO4 beads with -mol off. Sorry for this 
confusion


2.- As I said above, I did attempts using both the whole molecule and 
the PO4 beads. Yes I saw the figure 6 in the Wolhert Edholm's paper 
but I read in several other references that the calculation is more 
accurate by using only the P atom... what makes sense to me mainly for 
the lipids which are in contact with proteins


3.- I agree that removing jumps does not change anything. I decided to 
give this information in my message to avoid a reply saying try to 
remove jumps ;)


4.- Yes I agree that I could do the calculation by creating an index 
for each lipid... I guess that is the safest way to proceed...


Thanks for your reply!

Ángel.



On Thu, 2010-12-02 at 13:30 +0100, Javier Cerezo wrote:

Hello Ángel.

Well, there are a some things that I don't understand about your 
calculation, but might be just a problem of mine. Here you have my 
comments:


1. How do you get the diff_mol.xvg file if you are not using -mol in 
your command line input (and you index file has broken molecules).


2. Why do you select just an atom to calculate the diffusion? 
According to Wolhert and Edholm (JCP, 125, 204703) the MSD for all 
lipids atoms reach the same slope, so I guess using them all could 
improve sampling (I'm not sure).


3. I think that reprocessing of your trajectory to remove jumps is no 
longer needed (I got the same results in a 

[gmx-users] creat .gro; select force field

2010-12-02 Thread gromacs
Hi users:
 
I run pure water MD. I need to run different water models. How can i get 
spce.gro, which means how can i get .gro of spce water?
 
How can i get .gro of TIP4P?
 
If i select TIP4P water model, which force field should i select?  you know, i 
need .top, and .top should include force field.
 
If i select SPCE water model, which force field should i select?
 
I can find a spc216.gro, which is default solvent. I can use genbox to generate 
a box of solvent (spc water). how can we use other solvent, so we need to have 
the .gro of the solvent.
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[gmx-users] cumulative numbers or running coordination numbers ?

2010-12-02 Thread Vitaly Chaban
Hi all,

What is the standard designation (if any exists) of the function that
is calculated using g_rdf -cn? Cumulative numbers? Running
coordination numbers? Which of them is better to be used in the
article?

Thanks for your insights.

Vitaly


Dr. Vitaly V. Chaban|  skype: vvchaban
Department of Chemistry  |  email: v.cha...@rochester.edu
University of Rochester |  email: vvcha...@gmail.com
Rochester, NY 14627-0216   |  email: cha...@univer.kharkov.ua
United States of America  |  WWW: chem.rochester.edu/~prezhdo_group/
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[gmx-users] tpbconv -zeroq results all coulombic energies to zero

2010-12-02 Thread BIN ZHANG

Hi, all:

I was trying to use tpbconv to modify the tpr file with the command:
tpbconv -s %s.tpr -nsteps -1 -zeroq -n index -o final.tpr

It basically sets the charge of one group to zero. However, when I  
perform mdrun -rerun, all the coulombic energies are zeros, i.e.,  
Coulomb-(SR), Coul.-recip. This really does not make sense since I  
still have atoms in other groups that are charged. I was using  
gromacs4.0.7.


Has anyone seen this before? What exactly is the correct way to  
zeroize the charge for a group of atoms?


Thanks,
Bin

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Re: [gmx-users] tpbconv -zeroq results all coulombic energies to zero

2010-12-02 Thread David van der Spoel

On 2010-12-03 08.45, BIN ZHANG wrote:

Hi, all:

I was trying to use tpbconv to modify the tpr file with the command:
tpbconv -s %s.tpr -nsteps -1 -zeroq -n index -o final.tpr

It basically sets the charge of one group to zero. However, when I
perform mdrun -rerun, all the coulombic energies are zeros, i.e.,
Coulomb-(SR), Coul.-recip. This really does not make sense since I still
have atoms in other groups that are charged. I was using gromacs4.0.7.

Please check using gmxdump that there still are charged groups left in 
your tpr file.



Has anyone seen this before? What exactly is the correct way to zeroize
the charge for a group of atoms?

Thanks,
Bin




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Dept. of Cell  Molec. Biol., Uppsala University.
Box 596, 75124 Uppsala, Sweden. Phone:  +46184714205.
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