[gmx-users] Re: how to write the correct top file for membrane protein

2007-11-27 Thread liang

Hi Mark,

i indeed checked some publications about how to choose lipid force field,
please check this reference: Journal of Physics: Condensed Matter 18(2006) 
S1221-S1234,
Tieleman and his coworkers tested two combinations: Berger+ffgmx+SPC, 
Berger+OPLS+TIP4P,
and  they recommended that using OPLS together with united-atom lipid force 
field.
So, i would like to know whether it is reasonable or not, and how should i 
modify them in top file?


Thanks for your reply.

Liang

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Message: 4
Date: Mon, 26 Nov 2007 12:24:31 +0800
From: Mark Abraham [EMAIL PROTECTED]
Subject: Re: [gmx-users] Re: how to write the correct top file for
membrane protein
To: Discussion list for GROMACS users gmx-users@gromacs.org
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liang wrote:

Dear Mark,

Thanks for your advice, but from my understanding, Berger's force field
is based on OPLS/Amber.
Lipid itp files from Tieleman's website just use the atom type
definitions from GROMOS87.
And GROMOS87 is out of fashion now.
So thats why i think it would be better to use OPLS for protein and
ffgmx.itp for lipid.


Fine, but you can't use them both at the same time (unless you want to
produce indefensible gibberish), and ffgmx is deprecated anyway.


I am not sure whether I misunderstand the usage of Berger's force field,
if i am wrong,
please give me further instruction.


See my advice last time.


Don't mix forcefields unless you already have hard evidence that this
combination works - and I'm not aware of any. The link Justin provided
warns you about that. You need to find a force field that has parameters
optimized that suit your system. Mixing anything else is about 99% 
likely

to make an expensive (and poor) random number generator.


Look in the literature for systems similar to yours and see if their
ideas on force fields are suitable for you to use. Making it up based on
stuff you found on the web is for high school students doing assignments 
:-)


Mark



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[gmx-users] Re: how to write the correct top file for membrane protein

2007-11-25 Thread liang

Dear Mark,

Thanks for your advice, but from my understanding, Berger's force field is 
based on OPLS/Amber.
Lipid itp files from Tieleman's website just use the atom type definitions 
from GROMOS87.

And GROMOS87 is out of fashion now.
So thats why i think it would be better to use OPLS for protein and 
ffgmx.itp for lipids.
I am not sure whether I misunderstand the usage of Berger's force field, if 
i am wrong,

please give me further instruction.

I hope it would not be bothering you.  Thanks so much!

Liang




Dear Justin,

Thanks for you quickly reply.

I have tried before to comment out the section of [ defaults ] in the 
next

itp file, but still too many warnings and final crashed.
And i think it would not be the best method to solve this problem, 
because

i
have to use ffgmx.itp to deal with DPPC.

Is there any other method i can try?


Don't mix forcefields unless you already have hard evidence that this
combination works - and I'm not aware of any. The link Justin provided
warns you about that. You need to find a force field that has parameters
optimized that suit your system. Mixing anything else is about 99% likely
to make an expensive (and poor) random number generator.

Mark




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Re: [gmx-users] Re: how to write the correct top file for membrane protein

2007-11-25 Thread Mark Abraham

liang wrote:

Dear Mark,

Thanks for your advice, but from my understanding, Berger's force field 
is based on OPLS/Amber.
Lipid itp files from Tieleman's website just use the atom type 
definitions from GROMOS87.

And GROMOS87 is out of fashion now.
So thats why i think it would be better to use OPLS for protein and 
ffgmx.itp for lipid.


Fine, but you can't use them both at the same time (unless you want to 
produce indefensible gibberish), and ffgmx is deprecated anyway.


I am not sure whether I misunderstand the usage of Berger's force field, 
if i am wrong,

please give me further instruction.


See my advice last time.


Don't mix forcefields unless you already have hard evidence that this
combination works - and I'm not aware of any. The link Justin provided
warns you about that. You need to find a force field that has parameters
optimized that suit your system. Mixing anything else is about 99% likely
to make an expensive (and poor) random number generator.


Look in the literature for systems similar to yours and see if their 
ideas on force fields are suitable for you to use. Making it up based on 
stuff you found on the web is for high school students doing assignments :-)


Mark
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