Literature DB >> 34232435

Precise force-field-based calculations of octanol-water partition coefficients for the SAMPL7 molecules.

Shujie Fan1, Hristo Nedev2, Ranjit Vijayan3, Bogdan I Iorga4, Oliver Beckstein5.   

Abstract

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 [Formula: see text]s of simulations were performed, with some free energy windows remaining not fully converged even after 1 [Formula: see text]s of simulation time. Nevertheless, the amount of sampling produced [Formula: see text] 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 [Formula: see text] 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 [Formula: see text] predictions.
© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Keywords:  Free energy perturbation; Molecular dynamics; Octanol-water partition coefficient; SAMPL7; Solvation free energy

Mesh:

Substances:

Year:  2021        PMID: 34232435      PMCID: PMC8397498          DOI: 10.1007/s10822-021-00407-4

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   4.179


  17 in total

1.  Development and testing of a general amber force field.

Authors:  Junmei Wang; Romain M Wolf; James W Caldwell; Peter A Kollman; David A Case
Journal:  J Comput Chem       Date:  2004-07-15       Impact factor: 3.376

2.  Prediction of hydration free energies for aliphatic and aromatic chloro derivatives using molecular dynamics simulations with the OPLS-AA force field.

Authors:  Oliver Beckstein; Bogdan I Iorga
Journal:  J Comput Aided Mol Des       Date:  2011-12-21       Impact factor: 3.686

3.  LigParGen web server: an automatic OPLS-AA parameter generator for organic ligands.

Authors:  Leela S Dodda; Israel Cabeza de Vaca; Julian Tirado-Rives; William L Jorgensen
Journal:  Nucleic Acids Res       Date:  2017-07-03       Impact factor: 16.971

4.  Automation of the CHARMM General Force Field (CGenFF) I: bond perception and atom typing.

Authors:  K Vanommeslaeghe; A D MacKerell
Journal:  J Chem Inf Model       Date:  2012-11-28       Impact factor: 4.956

5.  Prediction of hydration free energies for the SAMPL4 diverse set of compounds using molecular dynamics simulations with the OPLS-AA force field.

Authors:  Oliver Beckstein; Anaïs Fourrier; Bogdan I Iorga
Journal:  J Comput Aided Mol Des       Date:  2014-02-21       Impact factor: 3.686

6.  Prediction of cyclohexane-water distribution coefficients for the SAMPL5 data set using molecular dynamics simulations with the OPLS-AA force field.

Authors:  Ian M Kenney; Oliver Beckstein; Bogdan I Iorga
Journal:  J Comput Aided Mol Des       Date:  2016-08-31       Impact factor: 3.686

7.  Automation of the CHARMM General Force Field (CGenFF) II: assignment of bonded parameters and partial atomic charges.

Authors:  K Vanommeslaeghe; E Prabhu Raman; A D MacKerell
Journal:  J Chem Inf Model       Date:  2012-11-28       Impact factor: 4.956

8.  CHARMM general force field: A force field for drug-like molecules compatible with the CHARMM all-atom additive biological force fields.

Authors:  K Vanommeslaeghe; E Hatcher; C Acharya; S Kundu; S Zhong; J Shim; E Darian; O Guvench; P Lopes; I Vorobyov; A D Mackerell
Journal:  J Comput Chem       Date:  2010-03       Impact factor: 3.376

9.  Prediction of octanol-water partition coefficients for the SAMPL6-[Formula: see text] molecules using molecular dynamics simulations with OPLS-AA, AMBER and CHARMM force fields.

Authors:  Shujie Fan; Bogdan I Iorga; Oliver Beckstein
Journal:  J Comput Aided Mol Des       Date:  2020-01-20       Impact factor: 3.686

10.  ACPYPE - AnteChamber PYthon Parser interfacE.

Authors:  Alan W Sousa da Silva; Wim F Vranken
Journal:  BMC Res Notes       Date:  2012-07-23
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  2 in total

1.  Predicting octanol/water partition coefficients using molecular simulation for the SAMPL7 challenge: comparing the use of neat and water saturated 1-octanol.

Authors:  Spencer J Sabatino; Andrew S Paluch
Journal:  J Comput Aided Mol Des       Date:  2021-09-08       Impact factor: 3.686

2.  Evaluation of log P, pKa, and log D predictions from the SAMPL7 blind challenge.

Authors:  Teresa Danielle Bergazin; Nicolas Tielker; Yingying Zhang; Junjun Mao; M R Gunner; Karol Francisco; Carlo Ballatore; Stefan M Kast; David L Mobley
Journal:  J Comput Aided Mol Des       Date:  2021-06-24       Impact factor: 3.686

  2 in total

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