RE: [gmx-users] stochastic dynamics , langevin

2008-10-24 Thread Berk Hess




> From: [EMAIL PROTECTED]
> To: gmx-users@gromacs.org
> Subject: RE: [gmx-users] stochastic dynamics , langevin
> Date: Thu, 23 Oct 2008 15:32:02 -0700
> 
> Along these same lines...
> (a)is there an thermostat setting in GROMACS that comes close to the DPD
> thermostat as described in (T. Soddemann, B. D¨unweg, and K. Kremer.
> Dissipative particle dynamics: A useful thermostat for equilibrium and
> nonequilibrium molecular dynamics simulations. Phys. Rev. E, 68:046702,
> 2003.)

No.

> (b) if nothing approaches DPD, how would a one go about starting to write a
> new thermostat in GROMACS?

Implementing a new thermostat in Gromacs is easy, except for DPD,
since it interferes both with the neighborlist and the integration.
I have considered implementing DPD, but it is a lot of work
and also difficult to do efficiently, since the DPD interactions are
more expensive that the Coulomb and LJ interactions.

Note that you only really need DPD for non-equilibrium phenomena
where hydrodynamics plays a role.

Berk


> 
> -Matt
> 
> -
> Matthew Hoopes
> Biophysics Graduate Group
> University of California, Davis
> 
> [EMAIL PROTECTED]
> 530-752-6452
> - 
> 
> 
> Hi,
> 
> Brownina dynamics is a Langevin equation for the coordinates (no inertia).
> Stochastic dynamics is a Langevin equation for the velocities (with
> inertia).
> 
> Everything depends on what you want to do, which you do not tell in detail.
> If you want to leave out the solvent, but you want to simulate a system in
> solvent, SD is not going to help you, since there is no implicit solvent
> potential, so your potential and therefore your sampling is nonsense.
> 
> tau_t has no effect on the distribution, only on the dynamics. If you want
> the correct dynamics, you will have fit tau_t to reproduce some kinetic
> quantity that you are interested in. For different quantities tau_t can be
> different.
> 
> Berk
> 
> 
> Date: Thu, 23 Oct 2008 15:31:16 +0200
> From: [EMAIL PROTECTED]
> To: gmx-users@gromacs.org
> Subject: [gmx-users] stochastic dynamics , langevin
> 
> Dear All,
> I am trying to perform Langevin dynamics of large peptides / proteins. After
> reading the manual & going over some old mails in this list, I have two
> points I hope you could clear for me:
> 
> [Gromacs version 3.3.3]
> 
> 1) I am a bit confused with Brownian vs. Langevin dynamics. Is this the
> proper keywords I should use for Langevin dynamics: integrator = sd ;
> 
> bd-fric= 0 ;
> tau_t  = 10 ;
> ref_t  = 300 ;
> With bd-fric=0, the friction is taken as the inverse tau_t.
> 
> 
> 2) From your experience, what are good values of tau_t (or 1/tau_t) for
> simulating a protein? In 2006 list, David has commented that choosing tau_t
> is very important (
> http://www.gromacs.org/pipermail/gmx-users/2006-July/023089.html ).
> 
> 
> Your help is appreciated. Omer.  
> Koby Levy research group,
> Weizmann Institute of Science. 
> http://www.weizmann.ac.il/sb/faculty_pages/Levy/
> 
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RE: [gmx-users] stochastic dynamics , langevin

2008-10-23 Thread Matthew Hoopes
Along these same lines...
(a)is there an thermostat setting in GROMACS that comes close to the DPD
thermostat as described in (T. Soddemann, B. D¨unweg, and K. Kremer.
Dissipative particle dynamics: A useful thermostat for equilibrium and
nonequilibrium molecular dynamics simulations. Phys. Rev. E, 68:046702,
2003.)
(b) if nothing approaches DPD, how would a one go about starting to write a
new thermostat in GROMACS?

-Matt

-
Matthew Hoopes
Biophysics Graduate Group
University of California, Davis

[EMAIL PROTECTED]
530-752-6452
- 


Hi,

Brownina dynamics is a Langevin equation for the coordinates (no inertia).
Stochastic dynamics is a Langevin equation for the velocities (with
inertia).

Everything depends on what you want to do, which you do not tell in detail.
If you want to leave out the solvent, but you want to simulate a system in
solvent, SD is not going to help you, since there is no implicit solvent
potential, so your potential and therefore your sampling is nonsense.

tau_t has no effect on the distribution, only on the dynamics. If you want
the correct dynamics, you will have fit tau_t to reproduce some kinetic
quantity that you are interested in. For different quantities tau_t can be
different.

Berk


Date: Thu, 23 Oct 2008 15:31:16 +0200
From: [EMAIL PROTECTED]
To: gmx-users@gromacs.org
Subject: [gmx-users] stochastic dynamics , langevin

Dear All,
I am trying to perform Langevin dynamics of large peptides / proteins. After
reading the manual & going over some old mails in this list, I have two
points I hope you could clear for me:

[Gromacs version 3.3.3]

1) I am a bit confused with Brownian vs. Langevin dynamics. Is this the
proper keywords I should use for Langevin dynamics: integrator = sd ;

bd-fric= 0 ;
tau_t  = 10 ;
ref_t  = 300 ;
With bd-fric=0, the friction is taken as the inverse tau_t.


2) From your experience, what are good values of tau_t (or 1/tau_t) for
simulating a protein? In 2006 list, David has commented that choosing tau_t
is very important (
http://www.gromacs.org/pipermail/gmx-users/2006-July/023089.html ).


Your help is appreciated. Omer.  
Koby Levy research group,
Weizmann Institute of Science. 
http://www.weizmann.ac.il/sb/faculty_pages/Levy/

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Re: [gmx-users] stochastic dynamics , langevin

2008-10-23 Thread Suman Chakrabarty
Berk Hess wrote:
> Everything depends on what you want to do, which you do not tell in detail.
> If you want to leave out the solvent, but you want to simulate a system
> in solvent,
> SD is not going to help you, since there is no implicit solvent potential,
> so your potential and therefore your sampling is nonsense.


So can we assume that the sampling is equivalent to that in vacuum (as
far as underlying potential/free energy surface is concerned), with only
the dynamics being slowed down by the viscous drag?

Also, is it a safe guideline to use Langevin dynamics for small
particles in not so viscous fluid and Brownian dynamics for large
particles in highly viscous fluid?


Regards,
Suman.


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Re: [gmx-users] stochastic dynamics , langevin

2008-10-23 Thread Omer Markovitch
Thanks for the quick reply Berk.


>
> 1) Is this the proper keywords I should use for Langevin dynamics:
> integrator = sd ;
> bd-fric= 0 ;
> tau_t  = 10 ;
> ref_t  = 300 ;
>

Basically, I want to know if I am using the 4 parameters correctly.
That is - for Langevin dynamics, I should pick bd-fric=0, to allow the
friction to be taken from 1/tau_t ?
Secondly, I am looking for examples of tau_t different people use for
different system.
Thanks, Omer.
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RE: [gmx-users] stochastic dynamics , langevin

2008-10-23 Thread Berk Hess
Hi,

Brownina dynamics is a Langevin equation for the coordinates (no inertia).
Stochastic dynamics is a Langevin equation for the velocities (with inertia).

Everything depends on what you want to do, which you do not tell in detail.
If you want to leave out the solvent, but you want to simulate a system in 
solvent,
SD is not going to help you, since there is no implicit solvent potential,
so your potential and therefore your sampling is nonsense.

tau_t has no effect on the distribution, only on the dynamics.
If you want the correct dynamics, you will have fit tau_t to
reproduce some kinetic quantity that you are interested in.
For different quantities tau_t can be different.

Berk


Date: Thu, 23 Oct 2008 15:31:16 +0200
From: [EMAIL PROTECTED]
To: gmx-users@gromacs.org
Subject: [gmx-users] stochastic dynamics , langevin

Dear All,
I am trying to perform Langevin dynamics of large peptides / proteins.
After reading the manual & going over some old mails in this list, I have two 
points I hope you could clear for me:

[Gromacs version 3.3.3]

1) I am a bit confused with Brownian vs. Langevin dynamics. Is this the proper 
keywords I should use for Langevin dynamics:
integrator = sd ;

bd-fric= 0 ;
tau_t  = 10 ;
ref_t  = 300 ;
With bd-fric=0, the friction is taken as the inverse tau_t.


2) From your experience, what are good values of tau_t (or 1/tau_t) for 
simulating a protein? In 2006 list, David has commented that choosing tau_t is 
very important ( 
http://www.gromacs.org/pipermail/gmx-users/2006-July/023089.html ).


Your help is appreciated. Omer.  
Koby Levy research group,
Weizmann Institute of Science. 
http://www.weizmann.ac.il/sb/faculty_pages/Levy/




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