TY - JOUR
T1 - Precise force-field-based calculations of octanol-water partition coefficients for the SAMPL7 molecules
AU - Fan, Shujie
AU - Nedev, Hristo
AU - Vijayan, Ranjit
AU - Iorga, Bogdan I.
AU - Beckstein, Oliver
N1 - Funding Information:
Research reported in this publication was supported by the National Institute Of General Medical Sciences of the National Institutes of Health under Awards Number R01GM118772 and R01GM125081, by GENCI–IDRIS (Grant 2020-A0080711524), by the French National Research Agency (ANR) through grants ANR-10-LABX-33 (LabEx LERMIT) and ANR-14-JAMR-0002-03 (JPIAMR), and by the Région Ile-de-France (grant DIM MAL-INF). Computing time on the Agave cluster of Research Computing at Arizona State University is gratefully acknowledged.
Funding Information:
We thank an anonymous referee for pointing out potential problems with gas phase sampling in our simulations. We appreciate the National Institutes of Health for its support of the SAMPL project via R01GM124270 to David L. Mobley (UC Irvine).
Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG.
PY - 2021/7
Y1 - 2021/7
N2 - We predicted water-octanol partition coefficients for the molecules in the SAMPL7 challenge with explicit solvent classical molecular dynamics (MD) simulations. Water hydration free energies and octanol solvation free energies were calculated with a windowed alchemical free energy approach. Three commonly used force fields (AMBER GAFF, CHARMM CGenFF, OPLS-AA) were tested. Special emphasis was placed on converging all simulations, using a criterion developed for the SAMPL6 challenge. In aggregate, over 1000 μs of simulations were performed, with some free energy windows remaining not fully converged even after 1 μs of simulation time. Nevertheless, the amount of sampling produced log Pow estimates with a precision of 0.1 log units or better for converged simulations. Despite being probably as fully sampled as can expected and is feasible, the agreement with experiment remained modest for all force fields, with no force field performing better than 1.6 in root mean squared error. Overall, our results indicate that a large amount of sampling is necessary to produce precise log Pow predictions for the SAMPL7 compounds and that high precision does not necessarily lead to high accuracy. Thus, fundamental problems remain to be solved for physics-based log Pow predictions.
AB - We predicted water-octanol partition coefficients for the molecules in the SAMPL7 challenge with explicit solvent classical molecular dynamics (MD) simulations. Water hydration free energies and octanol solvation free energies were calculated with a windowed alchemical free energy approach. Three commonly used force fields (AMBER GAFF, CHARMM CGenFF, OPLS-AA) were tested. Special emphasis was placed on converging all simulations, using a criterion developed for the SAMPL6 challenge. In aggregate, over 1000 μs of simulations were performed, with some free energy windows remaining not fully converged even after 1 μs of simulation time. Nevertheless, the amount of sampling produced log Pow estimates with a precision of 0.1 log units or better for converged simulations. Despite being probably as fully sampled as can expected and is feasible, the agreement with experiment remained modest for all force fields, with no force field performing better than 1.6 in root mean squared error. Overall, our results indicate that a large amount of sampling is necessary to produce precise log Pow predictions for the SAMPL7 compounds and that high precision does not necessarily lead to high accuracy. Thus, fundamental problems remain to be solved for physics-based log Pow predictions.
KW - Free energy perturbation
KW - Molecular dynamics
KW - Octanol-water partition coefficient
KW - SAMPL7
KW - Solvation free energy
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U2 - 10.1007/s10822-021-00407-4
DO - 10.1007/s10822-021-00407-4
M3 - Article
C2 - 34232435
AN - SCOPUS:85107386475
SN - 0920-654X
VL - 35
SP - 853
EP - 870
JO - Journal of Computer-Aided Molecular Design
JF - Journal of Computer-Aided Molecular Design
IS - 7
ER -