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Inconsistent results between TI, EXP, BAR, MBAR #126
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Please use alchemlyb instead; alchemical-analysis is no longer maintained and is quite out of date. |
@davidlmobley Thanks, I will then try with alchemlyb! |
hello qinghua, |
Hello,
No, I did not fix the issue, then I just stick to TI estimation.
All the best,
Qinghua
…On 4/12/22 11:00, tanshy17 wrote:
hello qinghua,
I meet the same problem,which the results between BAR and MBAR are not
consistent. Have you try alchemlyb and will the alchemlyb fix this
problems?
—
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hello Qinghua, Command line was: ../../alchemical_analysis/alchemical_analysis.py -d data/3-methylindole-11steps -q xvg -p dhdl -u kJStates TI (kJ/mol) TI-CUBIC (kJ/mol) DEXP (kJ/mol) IEXP (kJ/mol) BAR (kJ/mol) MBAR (kJ/mol) 0 -- 1 13.233 +- 0.113 13.172 +- 0.116 13.215 +- 0.223 12.845 +- 0.168 13.187 +- 0.117 13.311 +- 0.113 Coulomb: 39.609 +- 0.356 38.994 +- 0.378 39.549 +- 0.496 53.698 +- 2.538 38.870 +- 0.292 39.142 +- 0.332 ####################################################################### |
Hello,
I tried to run the ligand transformation in water using pmemd.cuda in the tutorial: http://ambermd.org/tutorials/advanced/tutorial9/
In the tutorial, there are three steps of transformation, which are called decharge, vdw_bonded and recharge, and here is the results from the tutorial (each step has 11 lambdas (bin size 0.1), and each window was sampled for 200 ps ):
ligands/decharge: -6.44585036422
ligands/vdw_bonded: 1.29181321994
ligands/recharge: -33.8336526019
dG sum for ligands = -38.98768974618
To improve the sampling, I used 25 lambdas (bin size 0.05 with extra two windows at each end points), and each window was sampled for 2 ns. The results I got with the python script from the tutorial (TI) is:
ligands/decharge: -6.363338637432731
ligands/vdw_bonded: 1.3493867576590386
ligands/recharge: -32.39912095583138
dG sum for ligands = -37.4130728356050724
The results I got are consistent with the ones from the tutorial. However, if I use the alchemical_analysis.py/mbar to do the analysis, then I saw the inconsistenc:
ligands/decharge:
TI: -6.40023 +- 0.03027
TI-CUBIC: -6.33526 +- 0.04188
DEXP: -15.25098 +- 0.38241
IEXP: 7.29922 +- 0.39631
BAR: -4.37929 +- 0.23774
MBAR: -6.61408 +- 0.66711
ligands/vdw_bonded:
TI: 1.37004 +- 0.07038
TI-CUBIC: 1.34016 +- 0.09244
DEXP: -12.25424 +- 0.36173
IEXP: 9.20770 +- 0.34181
BAR: -1.49565 +- 0.20352
MBAR: 1.60530 +- 0.66557
ligands/recharge:
TI: -32.26338 +- 0.06157
TI-CUBIC: -32.29185 +- 0.09051
DEXP: -30.09208 +- 0.39278
IEXP: -6.23544 +- 0.39539
BAR: -18.20007 +- 0.23451
MBAR: -20.96509 +- 0.69606
As you can see the results from the alchemical_analysis.py/mbar, the TI results are consistent with the tutorial. But clearly, there are big discrepancy between EXP with TI, BAR and MBAR. Could someone comment on the inconsistence among the methods
to help me understand the results? Thanks a lot!
PS: Input and output files could be provided if someone want to check them!
All the best,
Qinghua
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