[gmx-users] pull code, lambda, and soft core availability

2009-02-12 Thread chris . neale
Upon further investigation, it appears that a soft core may help in  
this case. This is in spite of the fact that the problem is not a  
singularity, but that the dgdl term (dgdl=0.5*(Fc_B-Fc_A)*(r-r0)^2)  
gives very large values for Fc_A large enough to be significantly  
restraining and Fc_B = zero, where the sampling in the B state is  
massively unlikely to occur in the A state. I had originally thought  
that the lambda parameter would get included in dgdl  
(http://www.gromacs.org/pipermail/gmx-developers/2009-February/003004.html)  
but that is obviously not the case.


I have found an alternative solution, but in case anyone else wants to  
follow this path in the future, it is possible that a lambda squared  
dependence would give improved behaviour since lambda would then be  
included in the dgdl equation. My quite possibly incorrect attempt at  
differentiation yields dgdl=(lambda-0.5)*Fc_A*(r-r0)^2 in this case  
where Fc_B=0.0, but in any event the (1-lambda)^2 term will ensure  
that lambda hangs around in some form, and this should reduce the  
uncertainties that occur near and at the no-restraint state.


Chris.

-- original message --

Thank you Matt, that is indeed the perfect paper. I'll post back here
once I figure out exactly where the (1-lambda)^2 term would fit into
the pull code US equation.

Chris.

This seems to be a good reference for soft-core interactions.

BEUTLER et al. AVOIDING SINGULARITIES AND NUMERICAL INSTABILITIES IN
FREE-ENERGY CALCULATIONS BASED ON MOLECULAR SIMULATIONS. Chem Phys
Lett (1994) vol. 222 pp. 529-539

On Thu, Feb 12, 2009 at 1:33 PM,   wrote:
  Does anybody know of a good paper that

describes the underlying equations that define soft core?

Thanks,
Chris.


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[gmx-users] pull code, lambda, and soft core availability

2009-02-12 Thread chris . neale
Thank you Matt, that is indeed the perfect paper. I'll post back here  
once I figure out exactly where the (1-lambda)^2 term would fit into  
the pull code US equation.


Chris.

This seems to be a good reference for soft-core interactions.

BEUTLER et al. AVOIDING SINGULARITIES AND NUMERICAL INSTABILITIES IN
FREE-ENERGY CALCULATIONS BASED ON MOLECULAR SIMULATIONS. Chem Phys
Lett (1994) vol. 222 pp. 529-539

On Thu, Feb 12, 2009 at 1:33 PM,   wrote:
 Does anybody know of a good paper that

describes the underlying equations that define soft core?

Thanks,
Chris.


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Re: [gmx-users] pull code, lambda, and soft core availability

2009-02-12 Thread Matt Wyczalkowski
This seems to be a good reference for soft-core interactions.

BEUTLER et al. AVOIDING SINGULARITIES AND NUMERICAL INSTABILITIES IN
FREE-ENERGY CALCULATIONS BASED ON MOLECULAR SIMULATIONS. Chem Phys
Lett (1994) vol. 222 pp. 529-539

On Thu, Feb 12, 2009 at 1:33 PM,   wrote:
 Does anybody know of a good paper that
> describes the underlying equations that define soft core?
>
> Thanks,
> Chris.
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[gmx-users] pull code, lambda, and soft core availability

2009-02-12 Thread chris . neale

Hello,

I see from looking at the source code that the free-energy lambda  
dependence is now available to the pull code based on pull_kB1.  
However, this leads to serious problems converging near lambda=1 when  
pull_k1=large and pull_kB1=0 and in the absence of a restraint (with  
k=0) the pulled COM is allowed to sample a large volume. I suspect  
that a soft core lambda dependence would help here, but the  
descriptions in the .mpd options section of the online manual indicate  
that this is available only for Lj and coulombic.


Quoting:
"sc_alpha: (0) the soft-core parameter, a value of 0 results in linear  
interpolation of the LJ and Coulomb interactions"


Does anybody know if it is possible to get soft core potentials for an  
arbitrary coordinate?


I tested the application of this myself by bypassing the free energy  
code and simply modifying the A-state pull_k1 value based on lambda  
0->1 and then calculating dGdl from the px.xvg file myself. However, I  
am unclear how one would implement this as soft core. Does anybody  
know of a good paper that describes the underlying equations that  
define soft core?


Thanks,
Chris.

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