Re: [gmx-users] Pulling a CG protein

2009-07-30 Thread XAvier Periole


Hi Johnny,

I am not familiar with pulling and even less with gromacs but I would be
very cautious in using the MARTINI force field for the kind of  
simulation

you are doing.
This CG model has not been tested at all for this and it might not be
very good at it! But I would be very interested in knowing how it  
actually

perform.

XAvier.

On Jul 30, 2009, at 1:04 AM, Johnny Lam wrote:


Dear gromacs users,

Hi, I am trying to pull apart a relatively large protein (CG using the
martini force field) by pulling on two groups in opposite  
directions. To

do this, I will be using the following .mdp file. However, I am almost
certain that it contains errors:

title= Martini
cpp  = /usr/bin/cpp

; RUN CONTROL PARAMETERS =
; MARTINI - Most simulations are stable with dt=40 fs,
; some (especially rings) require 20-30 fs.
; The range of time steps used for parametrization
; is 20-40 fs, using smaller time steps is therefore not recommended.

integrator   = md
; start time and timestep in ps
tinit= 0.0
dt   = 0.030
nsteps   = 17000
; number of steps for center of mass motion removal =
nstcomm  = 1
comm-grps=

; OUTPUT CONTROL OPTIONS =
; Output frequency for coords (x), velocities (v) and forces (f) =
nstxout  = 2500
nstvout  = 2500
nstfout  = 0
; Output frequency for energies to log file and energy file =
nstlog   = 1000
nstenergy= 1000
; Output frequency and precision for xtc file =
nstxtcout= 1000
xtc_precision= 100
; This selects the subset of atoms for the xtc file. You can =
; select multiple groups. By default all atoms will be written. =
xtc-grps =
; Selection of energy groups =
energygrps   =

; NEIGHBORSEARCHING PARAMETERS =
; MARTINI - no need for more frequent updates
; or larger neighborlist cut-off due
; to the use of shifted potential energy functions.

; nblist update frequency =
nstlist  = 10
; ns algorithm (simple or grid) =
ns_type  = grid
; Periodic boundary conditions: xyz or none =
pbc  = xyz
; nblist cut-off =
rlist= 1.4

; OPTIONS FOR ELECTROSTATICS AND VDW =
; MARTINI - vdw and electrostatic interactions are used
; in their shifted forms. Changing to other types of
; electrostatics will affect the general performance of
; the model.

; Method for doing electrostatics =
coulombtype  = Shift
rcoulomb_switch  = 0.0
rcoulomb = 1.2
; Dielectric constant (DC) for cut-off or DC of reaction field =
epsilon_r= 15
; Method for doing Van der Waals =
vdw_type = Shift
; cut-off lengths=
rvdw_switch  = 0.9
rvdw = 1.2
; Apply long range dispersion corrections for Energy and Pressure =
DispCorr = No

; OPTIONS FOR WEAK COUPLING ALGORITHMS =
; MARTINI - normal temperature and pressure coupling schemes
; can be used. It is recommended to couple individual groups
; in your system seperately.

; Temperature coupling   =
tcoupl   = V-Rescale
; Groups to couple separately =
tc-grps  = PROTEIN W
; Time constant (ps) and reference temperature (K) =
tau_t= 0.3 0.3
ref_t= 323 323
; Pressure coupling  =
Pcoupl   = berendsen
Pcoupltype   = isotropic
; Time constant (ps), compressibility (1/bar) and reference P (bar) =
tau_p= 3.0
compressibility  = 3e-5
ref_p= 1.0

; GENERATE VELOCITIES FOR STARTUP RUN =
gen_vel  = no
gen_temp = 323
gen_seed = 666

; OPTIONS FOR BONDS =
; MARTINI - for ring systems constraints are defined
; which are best handled using Lincs.

constraints  = none
; Type of constraint algorithm =
constraint_algorithm = Lincs
; Do not constrain the start configuration =
unconstrained_start  = no
; Highest order in the expansion of the constraint coupling matrix =
lincs_order  = 4
; Lincs will write a warning to the stderr if in one step a bond =
; rotates over more degrees than =
lincs_warnangle  = 60

; FREEZE GROUP

; Pulling
pull=  afm
pull_geometry   =  direction
pull_start  =  no
pull_nstxout=  10
pull_nstfout=  10
pull_ngroups=  2
pull_group0 =
pull_group1 =  pull
pull_vec1   =  -0.1764 -0.9823 -0.0625
pull_init1  =  -0.1764 -0.9823 -0.0625
pull_rate1  =  0.0001
pull_k1 =  1000
pull_group2 =  freeze
pull_vec2   =  0.1764 0.9823 0.0625
pull_init2  =  0.1764 0.9823 0.0625
pull_rate2  =  0.01
pull_k2 =  5000


The reason why group 2 

Re: [gmx-users] Pulling a CG protein

2009-07-30 Thread Marc Baaden

Hi Xavier (and Johnny),

I quite agree with what Xavier says. Still I would like to point out
that we have used CG models to pull on them and at least qualitatively
they behave quite reasonably, although these models have never been
parameterized or systematically tested with this kind of application in
mind.

What I mean by qualitatively is that I wouldn't trust a force-extension
curve of such simulations (unless you do some force-matching :)) - re:
FD144), but the conformational changes that are observed in a moderate
pulling regime do seem to make sense.

The experiments we carried out were interactive pulling experiments,
either to induce opening and closure of the guanylate kinase enzyme or
to explore the membrane anchoring and the mechanical properties of the
SNARE complex. This is briefly described in reference [1].

Cheers,
Marc


[1] http://dx.doi.org/10.1002/jcc.21235
O. Delalande, N. Férey, G. Grasseau and M. Baaden:
Complex Molecular Assemblies at hand via Interactive Simulations,
2009, J. Comp. Chem.


x.peri...@rug.nl said:
 Hi Johnny,
 I am not familiar with pulling and even less with gromacs but I would
 be very cautious in using the MARTINI force field for the kind of
 simulation you are doing. This CG model has not been tested at all
 for this and it might not be very good at it! But I would be very
 interested in knowing how it   actually perform.

 XAvier.




--
 Dr. Marc Baaden  - Institut de Biologie Physico-Chimique, Paris
 mailto:baa...@smplinux.de  -  http://www.baaden.ibpc.fr
 FAX: +33 15841 5026  -  Tel: +33 15841 5176  ou  +33 609 843217


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Re: [gmx-users] Pulling a CG protein

2009-07-30 Thread David van der Spoel

Marc Baaden wrote:

Hi Xavier (and Johnny),

I quite agree with what Xavier says. Still I would like to point out
that we have used CG models to pull on them and at least qualitatively
they behave quite reasonably, although these models have never been
parameterized or systematically tested with this kind of application in
mind.

In general models that have been parameterized for one specific 
observable may not reproduce other observables *unless* the observables 
used for parameterization have a clear physical basis *and* the energy 
function captures the correct physics. Most biomolecular force fields 
(including Martini as far as I know) have been parameterized to 
reproduce density and energy of condensed phase (liquids), and hence 
this kind of data is usually reproduced quite well. However mixtures of 
components (e.g. two liquids) are usually not reproduced as well.


By doing the kind of pulling simulations, preferably both atomistic and 
with CG models, one can try to verify whether the CG models can actually 
reproduce force curves to a comparable accuracy as all atom models. This 
kind of work should be done *systematically* before any applications.


What does this boil down to? If you want to apply MD tools to get an 
accurate force curve *now*, use all atom models. If you want to play 
with and test CG models, then do a large systematic test (many systems). 
If the CG models perform reasonably, you have cleared everyone's 
conscience and will get a lot of citations. If they don't then you 
should try to understand why not. Are there fundamental flaws in the 
model? If so, can they be fixed?


Have fun.


What I mean by qualitatively is that I wouldn't trust a force-extension
curve of such simulations (unless you do some force-matching :)) - re:
FD144), but the conformational changes that are observed in a moderate
pulling regime do seem to make sense.

The experiments we carried out were interactive pulling experiments,
either to induce opening and closure of the guanylate kinase enzyme or
to explore the membrane anchoring and the mechanical properties of the
SNARE complex. This is briefly described in reference [1].

Cheers,
Marc


[1] http://dx.doi.org/10.1002/jcc.21235
O. Delalande, N. Férey, G. Grasseau and M. Baaden:
Complex Molecular Assemblies at hand via Interactive Simulations,
2009, J. Comp. Chem.


x.peri...@rug.nl said:

Hi Johnny,
I am not familiar with pulling and even less with gromacs but I would
be very cautious in using the MARTINI force field for the kind of
simulation you are doing. This CG model has not been tested at all
for this and it might not be very good at it! But I would be very
interested in knowing how it   actually perform.



XAvier.








--
David van der Spoel, Ph.D., Professor of Biology
Molec. Biophys. group, Dept. of Cell  Molec. Biol., Uppsala University.
Box 596, 75124 Uppsala, Sweden. Phone:  +46184714205. Fax: +4618511755.
sp...@xray.bmc.uu.sesp...@gromacs.org   http://folding.bmc.uu.se
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Re: [gmx-users] Pulling a CG protein

2009-07-30 Thread XAvier Periole


On Jul 30, 2009, at 11:40 AM, David van der Spoel wrote:


Marc Baaden wrote:

Hi Xavier (and Johnny),
I quite agree with what Xavier says. Still I would like to point out
that we have used CG models to pull on them and at least  
qualitatively

they behave quite reasonably, although these models have never been
parameterized or systematically tested with this kind of  
application in

mind.
In general models that have been parameterized for one specific  
observable may not reproduce other observables *unless* the  
observables used for parameterization have a clear physical basis  
*and* the energy function captures the correct physics. Most  
biomolecular force fields (including Martini as far as I know) have  
been parameterized to reproduce density and energy of condensed  
phase (liquids), and hence this kind of data is usually reproduced  
quite well. However mixtures of components (e.g. two liquids) are  
usually not reproduced as well.


By doing the kind of pulling simulations, preferably both atomistic  
and with CG models, one can try to verify whether the CG models can  
actually reproduce force curves to a comparable accuracy as all atom  
models. This kind of work should be done *systematically* before any  
applications.


What does this boil down to? If you want to apply MD tools to get an  
accurate force curve *now*, use all atom models. If you want to play  
with and test CG models, then do a large systematic test (many  
systems). If the CG models perform reasonably, you have cleared  
everyone's conscience and will get a lot of citations. If they don't  
then you should try to understand why not. Are there fundamental  
flaws in the model? If so, can they be fixed?
This is of course the idea, but then comes the problem of believing  
that atomistic simulations

are actually giving the right answer!

Have fun.

What I mean by qualitatively is that I wouldn't trust a force- 
extension
curve of such simulations (unless you do some force-matching :)) -  
re:
FD144), but the conformational changes that are observed in a  
moderate

pulling regime do seem to make sense.
The experiments we carried out were interactive pulling experiments,
either to induce opening and closure of the guanylate kinase enzyme  
or
to explore the membrane anchoring and the mechanical properties of  
the

SNARE complex. This is briefly described in reference [1].
Cheers,
Marc
[1] http://dx.doi.org/10.1002/jcc.21235
   O. Delalande, N. Férey, G. Grasseau and M. Baaden:
   Complex Molecular Assemblies at hand via Interactive Simulations,
   2009, J. Comp. Chem.
x.peri...@rug.nl said:

Hi Johnny,
I am not familiar with pulling and even less with gromacs but I  
would

be very cautious in using the MARTINI force field for the kind of
simulation you are doing. This CG model has not been tested at all
for this and it might not be very good at it! But I would be very
interested in knowing how it   actually perform.
XAvier.



--
David van der Spoel, Ph.D., Professor of Biology
Molec. Biophys. group, Dept. of Cell  Molec. Biol., Uppsala  
University.

Box 596, 75124 Uppsala, Sweden. Phone:  +46184714205. Fax: +4618511755.
sp...@xray.bmc.uu.sesp...@gromacs.org   http://folding.bmc.uu.se
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Re: [gmx-users] Pulling a CG protein

2009-07-30 Thread David van der Spoel

XAvier Periole wrote:


On Jul 30, 2009, at 11:40 AM, David van der Spoel wrote:


Marc Baaden wrote:

Hi Xavier (and Johnny),
I quite agree with what Xavier says. Still I would like to point out
that we have used CG models to pull on them and at least qualitatively
they behave quite reasonably, although these models have never been
parameterized or systematically tested with this kind of application in
mind.
In general models that have been parameterized for one specific 
observable may not reproduce other observables *unless* the 
observables used for parameterization have a clear physical basis 
*and* the energy function captures the correct physics. Most 
biomolecular force fields (including Martini as far as I know) have 
been parameterized to reproduce density and energy of condensed phase 
(liquids), and hence this kind of data is usually reproduced quite 
well. However mixtures of components (e.g. two liquids) are usually 
not reproduced as well.


By doing the kind of pulling simulations, preferably both atomistic 
and with CG models, one can try to verify whether the CG models can 
actually reproduce force curves to a comparable accuracy as all atom 
models. This kind of work should be done *systematically* before any 
applications.


What does this boil down to? If you want to apply MD tools to get an 
accurate force curve *now*, use all atom models. If you want to play 
with and test CG models, then do a large systematic test (many 
systems). If the CG models perform reasonably, you have cleared 
everyone's conscience and will get a lot of citations. If they don't 
then you should try to understand why not. Are there fundamental flaws 
in the model? If so, can they be fixed?
This is of course the idea, but then comes the problem of believing that 
atomistic simulations

are actually giving the right answer!


Of course, on the other hand CG models were developed to a large extent 
by comparison with A models, so if these are wrong, CG models are 
hopeless...


In addition, especially for this kind of applications, does the 
experimental data measure the same thing that we try to calculate?


Questions, questions.


Have fun.


What I mean by qualitatively is that I wouldn't trust a force-extension
curve of such simulations (unless you do some force-matching :)) - re:
FD144), but the conformational changes that are observed in a moderate
pulling regime do seem to make sense.
The experiments we carried out were interactive pulling experiments,
either to induce opening and closure of the guanylate kinase enzyme or
to explore the membrane anchoring and the mechanical properties of the
SNARE complex. This is briefly described in reference [1].
Cheers,
Marc
[1] http://dx.doi.org/10.1002/jcc.21235
   O. Delalande, N. Férey, G. Grasseau and M. Baaden:
   Complex Molecular Assemblies at hand via Interactive Simulations,
   2009, J. Comp. Chem.
x.peri...@rug.nl said:

Hi Johnny,
I am not familiar with pulling and even less with gromacs but I would
be very cautious in using the MARTINI force field for the kind of
simulation you are doing. This CG model has not been tested at all
for this and it might not be very good at it! But I would be very
interested in knowing how it   actually perform.
XAvier.



--
David van der Spoel, Ph.D., Professor of Biology
Molec. Biophys. group, Dept. of Cell  Molec. Biol., Uppsala University.
Box 596, 75124 Uppsala, Sweden. Phone:+46184714205. Fax: +4618511755.
sp...@xray.bmc.uu.sesp...@gromacs.org   http://folding.bmc.uu.se
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--
David van der Spoel, Ph.D., Professor of Biology
Molec. Biophys. group, Dept. of Cell  Molec. Biol., Uppsala University.
Box 596, 75124 Uppsala, Sweden. Phone:  +46184714205. Fax: +4618511755.
sp...@xray.bmc.uu.sesp...@gromacs.org   http://folding.bmc.uu.se
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Re: [gmx-users] Pulling a CG protein

2009-07-30 Thread XAvier Periole


On Jul 30, 2009, at 12:10 PM, David van der Spoel wrote:


XAvier Periole wrote:

On Jul 30, 2009, at 11:40 AM, David van der Spoel wrote:

Marc Baaden wrote:

Hi Xavier (and Johnny),
I quite agree with what Xavier says. Still I would like to point  
out
that we have used CG models to pull on them and at least  
qualitatively

they behave quite reasonably, although these models have never been
parameterized or systematically tested with this kind of  
application in

mind.
In general models that have been parameterized for one specific  
observable may not reproduce other observables *unless* the  
observables used for parameterization have a clear physical basis  
*and* the energy function captures the correct physics. Most  
biomolecular force fields (including Martini as far as I know)  
have been parameterized to reproduce density and energy of  
condensed phase (liquids), and hence this kind of data is usually  
reproduced quite well. However mixtures of components (e.g. two  
liquids) are usually not reproduced as well.


By doing the kind of pulling simulations, preferably both  
atomistic and with CG models, one can try to verify whether the CG  
models can actually reproduce force curves to a comparable  
accuracy as all atom models. This kind of work should be done  
*systematically* before any applications.


What does this boil down to? If you want to apply MD tools to get  
an accurate force curve *now*, use all atom models. If you want to  
play with and test CG models, then do a large systematic test  
(many systems). If the CG models perform reasonably, you have  
cleared everyone's conscience and will get a lot of citations. If  
they don't then you should try to understand why not. Are there  
fundamental flaws in the model? If so, can they be fixed?
This is of course the idea, but then comes the problem of believing  
that atomistic simulations

are actually giving the right answer!


Of course, on the other hand CG models were developed to a large  
extent by comparison with A models,
Yes on data from A models that were compared to Exp data, so as much  
reliable as possible :))

so if these are wrong, CG models are hopeless...


Well now we use CG to (re)parameterize AT models ... just kidding ...
In addition, especially for this kind of applications, does the  
experimental data measure the same thing that we try to calculate?


Questions, questions.


Have fun.

What I mean by qualitatively is that I wouldn't trust a force- 
extension
curve of such simulations (unless you do some force-matching :))  
- re:
FD144), but the conformational changes that are observed in a  
moderate

pulling regime do seem to make sense.
The experiments we carried out were interactive pulling  
experiments,
either to induce opening and closure of the guanylate kinase  
enzyme or
to explore the membrane anchoring and the mechanical properties  
of the

SNARE complex. This is briefly described in reference [1].
Cheers,
Marc
[1] http://dx.doi.org/10.1002/jcc.21235
  O. Delalande, N. Férey, G. Grasseau and M. Baaden:
  Complex Molecular Assemblies at hand via Interactive Simulations,
  2009, J. Comp. Chem.
x.peri...@rug.nl said:

Hi Johnny,
I am not familiar with pulling and even less with gromacs but I  
would

be very cautious in using the MARTINI force field for the kind of
simulation you are doing. This CG model has not been tested at  
all

for this and it might not be very good at it! But I would be very
interested in knowing how it   actually perform.
XAvier.



--
David van der Spoel, Ph.D., Professor of Biology
Molec. Biophys. group, Dept. of Cell  Molec. Biol., Uppsala  
University.
Box 596, 75124 Uppsala, Sweden. Phone:+46184714205. Fax:  
+4618511755.

sp...@xray.bmc.uu.sesp...@gromacs.org   http://folding.bmc.uu.se
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--
David van der Spoel, Ph.D., Professor of Biology
Molec. Biophys. group, Dept. of Cell  Molec. Biol., Uppsala  
University.

Box 596, 75124 Uppsala, Sweden. Phone:  +46184714205. Fax: +4618511755.
sp...@xray.bmc.uu.sesp...@gromacs.org   http://folding.bmc.uu.se
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Re: [gmx-users] Pulling a CG protein

2009-07-30 Thread Marc Baaden

Hi,

Just picking up the following bits of the conversation:


David van der Spoel wrote:
 What does this boil down to? If you want to apply MD tools to get
 an accurate force curve *now*, use all atom models. [..]

x.peri...@rug.nl said:
 This is of course the idea, but then comes the problem of believing  
 that atomistic simulations are actually giving the right answer!

I think this is actually quite a valid point. As David pointed out, 
many forcefields have been parameterized with respect to density and 
energy data. So there is actually no guarantee that atomistic 
forcefields do particularly well with respect to pulling simulations
(although many people have used them for such simulations). 
The gold standard should probably be to compare CG pull simulations 
directly to corresponding experimental data whenever possible.

So have even more fun :)
Marc

-- 
 Dr. Marc Baaden  - Institut de Biologie Physico-Chimique, Paris
 mailto:baa...@smplinux.de  -  http://www.baaden.ibpc.fr
 FAX: +33 15841 5026  -  Tel: +33 15841 5176  ou  +33 609 843217


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Re: [gmx-users] Pulling a CG protein

2009-07-30 Thread Johnny Lam
Hi XAvier, Marc, and David,

Thank you so much for the reply and encouragement ;-). Please forgive me
as I am trying to learn how to reply to the thread that I started. With
regards to the fun discussion, it was my original intent to compare the
results of pulling with the MARTINI forcefield (if the pull code was
correct) with already published works on MD (using all-atomistic modeling
of course :-)). I just wanted to know whether the pull code that I am
using will be valid at all. If you guys can verify that would be awesome!
Otherwise, I'd be happy to share the results with you guys if you wish.
Again, thanks!

--Johnny


-
Johnny Lam
ISPE Berkeley Chapter External Vice President
Department of Bioengineering
College of Engineering
University of California, Berkeley
Tel: (408) 655- 6829
Email: john...@berkeley.edu


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[gmx-users] Pulling a CG protein

2009-07-29 Thread Johnny Lam
Dear gromacs users,

Hi, I am trying to pull apart a relatively large protein (CG using the
martini force field) by pulling on two groups in opposite directions. To
do this, I will be using the following .mdp file. However, I am almost
certain that it contains errors:

title= Martini
cpp  = /usr/bin/cpp

; RUN CONTROL PARAMETERS =
; MARTINI - Most simulations are stable with dt=40 fs,
; some (especially rings) require 20-30 fs.
; The range of time steps used for parametrization
; is 20-40 fs, using smaller time steps is therefore not recommended.

integrator   = md
; start time and timestep in ps
tinit= 0.0
dt   = 0.030
nsteps   = 17000
; number of steps for center of mass motion removal =
nstcomm  = 1
comm-grps=

; OUTPUT CONTROL OPTIONS =
; Output frequency for coords (x), velocities (v) and forces (f) =
nstxout  = 2500
nstvout  = 2500
nstfout  = 0
; Output frequency for energies to log file and energy file =
nstlog   = 1000
nstenergy= 1000
; Output frequency and precision for xtc file =
nstxtcout= 1000
xtc_precision= 100
; This selects the subset of atoms for the xtc file. You can =
; select multiple groups. By default all atoms will be written. =
xtc-grps =
; Selection of energy groups =
energygrps   =

; NEIGHBORSEARCHING PARAMETERS =
; MARTINI - no need for more frequent updates
; or larger neighborlist cut-off due
; to the use of shifted potential energy functions.

; nblist update frequency =
nstlist  = 10
; ns algorithm (simple or grid) =
ns_type  = grid
; Periodic boundary conditions: xyz or none =
pbc  = xyz
; nblist cut-off =
rlist= 1.4

; OPTIONS FOR ELECTROSTATICS AND VDW =
; MARTINI - vdw and electrostatic interactions are used
; in their shifted forms. Changing to other types of
; electrostatics will affect the general performance of
; the model.

; Method for doing electrostatics =
coulombtype  = Shift
rcoulomb_switch  = 0.0
rcoulomb = 1.2
; Dielectric constant (DC) for cut-off or DC of reaction field =
epsilon_r= 15
; Method for doing Van der Waals =
vdw_type = Shift
; cut-off lengths=
rvdw_switch  = 0.9
rvdw = 1.2
; Apply long range dispersion corrections for Energy and Pressure =
DispCorr = No

; OPTIONS FOR WEAK COUPLING ALGORITHMS =
; MARTINI - normal temperature and pressure coupling schemes
; can be used. It is recommended to couple individual groups
; in your system seperately.

; Temperature coupling   =
tcoupl   = V-Rescale
; Groups to couple separately =
tc-grps  = PROTEIN W
; Time constant (ps) and reference temperature (K) =
tau_t= 0.3 0.3
ref_t= 323 323
; Pressure coupling  =
Pcoupl   = berendsen
Pcoupltype   = isotropic
; Time constant (ps), compressibility (1/bar) and reference P (bar) =
tau_p= 3.0
compressibility  = 3e-5
ref_p= 1.0

; GENERATE VELOCITIES FOR STARTUP RUN =
gen_vel  = no
gen_temp = 323
gen_seed = 666

; OPTIONS FOR BONDS =
; MARTINI - for ring systems constraints are defined
; which are best handled using Lincs.

constraints  = none
; Type of constraint algorithm =
constraint_algorithm = Lincs
; Do not constrain the start configuration =
unconstrained_start  = no
; Highest order in the expansion of the constraint coupling matrix =
lincs_order  = 4
; Lincs will write a warning to the stderr if in one step a bond =
; rotates over more degrees than =
lincs_warnangle  = 60

; FREEZE GROUP

; Pulling
pull=  afm
pull_geometry   =  direction
pull_start  =  no
pull_nstxout=  10
pull_nstfout=  10
pull_ngroups=  2
pull_group0 =
pull_group1 =  pull
pull_vec1   =  -0.1764 -0.9823 -0.0625
pull_init1  =  -0.1764 -0.9823 -0.0625
pull_rate1  =  0.0001
pull_k1 =  1000
pull_group2 =  freeze
pull_vec2   =  0.1764 0.9823 0.0625
pull_init2  =  0.1764 0.9823 0.0625
pull_rate2  =  0.01
pull_k2 =  5000


The reason why group 2 has such a high force constant and low pull rate is
because I wanted to simulate putting a harmonic constraint on the freeze
group. However, when I process this .mdp with grompp, I get the following
message:

WARNING 1 [file md_vinculin.mdp, line unknown]:
  Unknown or double left-hand 'pull_group2' in parameter file



WARNING 2 [file md_vinculin.mdp, line unknown]:
  Unknown or double