Hi Prof Luo,
Many thanks and best wishes,
Stefan
________________________________________
From: Ray Luo [rluo.uci.edu]
Sent: Monday, March 14, 2016 3:52 AM
To: AMBER Mailing List
Subject: Re: [AMBER] How is ÄGnonpolar computed in MMPBSA.py in AMBER 14? (inp=2 in &pb namelist)
Hi Stefan,
> If I understand correctly, by default:
>
> ÄGrepulsive = molecular_volume*ã + c, where ã is the surface tension and c is the cavity offset, correct? How is the volume computed? More precisely, what volume is being used - solvent accessible (SAV) or solvent excluded volume (SEV)?
Yes, and it uses SAV since it performs better as shown in the original paper.
> As for the keywords in the output:
>
> EPB = ÄGelectrostatic
> ENPOLAR = ÄGattractive (ÄGdispersion)
> ECAVITY = ÄGrepulsive(ÄGcavitation)
In the python script (please refer to your own output):
ENPOLAR is the repulsive free energy; it's positive.
EDISPER is the attractive free energy; it's negative.
> and
>
> ÄGnonpolar = ENPOLAR + ECAVITY
Yes.
> Finally,
>
> ÄGsolvation = ÄGnonpolar + EPB
>
> Is this correct?
Yes.
All the best,
Ray
--
Ray Luo, Ph.D.
Professor
Biochemistry, Molecular Biophysics, Chemical Physics,
Chemical and Biomedical Engineering
University of California, Irvine, CA 92697-3900
> ________________________________________
> From: Ray Luo [rluo.uci.edu]
> Sent: Sunday, March 13, 2016 4:21 AM
> To: AMBER Mailing List
> Subject: Re: [AMBER] How is ÄGnonpolar computed in MMPBSA.py in AMBER 14? (inp=2 in &pb namelist)
>
> Hi Stefan,
>
>> I would like to ask a few questions regarding MMPBSA.py's
>> implementation in AMBER14. Having read the AMBER14 manual, the
>> MMPBSA.py paper, and a few papers referenced in the manual, I'm a
>> bit confused and unsure about a few things.
>>
>> What is the default scheme for computing ÄGsolvation in MMPBSA.py
>> in AMBER 14 (default is inp = 2, according to the AMBER14 manual)?
>> I'm specifically talking about the Poisson-Boltzmann computations, i.e.
>> inp=2 in the &pb namelist (which is equivalent to not specifying
>> anything for inp, because 2 is the default value, right)?. I think the
>> manual is a bit unclear. From what I understand
>
> This is correct.
>
>> ÄGsolvation = ÄGelectrostatic + ÄGnonpolar
>>
>> and
>>
>> ÄGnonpolar = ÄGrepulsive(ÄGcavitation) + ÄGattractive (ÄGdispersion).
>
> Yes, this is correct.
>
>> Finally:
>>
>> ÄGrepulsive = ã*SASA + c
>
> The default behavior is that the repulsive free energy is modeled as
> linearly depended on the volume within SASA since this is the best
> observed scheme for the tested small molecules and side chain mutation
> data.
>
>> where SASA is computed with the LCPO method. Is this correct or is
>> the cavitation term proportional to molecular volume? If so, how is that
>> computed?
>
> If you choose to model it as linearly dependent on SASA, PBSA would
> compute SASA numerically, it does not use the approximated LCPO
> method.
>
>> Here is a typical output file I get (see below). I see EPB, ENPOLAR,
>> EDISPER, but no ECAVITY term. Does this mean that ENPOLAR is
>> the (repulsive) cavitation term and EDISPER is the (attractive)
>> dispersion term (although in this case ENPOLAR is negative and
>> ECAVITY is positive)?
>
> This is because the the printing of ECAVITY (inp=2) shares the same
> routine as the printing ENPOLAR (inp=1) in the script. Again this is
> because they both use linearly functional models. The sander printout
> is more informative.
>
>> Also, is the internal PBSA solver in sander linear or nonlinear?
>
> It's linear by default.
>
>> I have seen a lot of recommendations for the "perl" version of
>> MMPBSA, but very little for MMPBSA.py. What settings would you
>> recommend for doing Poisson-Boltzmann calculations on protein -
>> protein complexes?
>
> The two scripts should give you the same results if you use the same
> options. The difference is that the perl script uses sander, and the
> python script uses nab by default. If you prefer, you can use the
> sander option in the python script so you can choose all the &pb
> keywords as described in the manual. Apparently it is too hard to
> support all &pb keywords in either scripts.
>
> You may want to use inp=1 for protein-protein complexes because the
> inp=2 was not optimized for macromolecular "ligand" binding, though we
> are working on it.
>
> All the best,
> Ray
> --
> Ray Luo, Ph.D.
> Professor
> Biochemistry, Molecular Biophysics, Chemical Physics,
> Chemical and Biomedical Engineering
> University of California, Irvine, CA 92697-3900
>
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Received on Sun Mar 13 2016 - 22:30:03 PDT