Literature DB >> 22187140

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

Oliver Beckstein1, Bogdan I Iorga.   

Abstract

All-atom molecular dynamics computer simulations were used to blindly predict the hydration free energies of a range of chloro-organic compounds as part of the SAMPL3 challenge. All compounds were parameterized within the framework of the OPLS-AA force field, using an established protocol to compute the absolute hydration free energy via a windowed free energy perturbation approach and thermodynamic integration. Three different approaches to deriving partial charge parameters were pursued: (1) using existing OPLS-AA atom types and charges with minor adjustments of partial charges on equivalent connecting atoms; (2) calculation of quantum mechanical charges via geometry optimization, followed by electrostatic potential (ESP) fitting, using Jaguar at the LMP2/cc-pVTZ(-F) level; and (3) via geometry optimization and CHelpG charges (Gaussian03 at the HF/6-31G* level), followed by two-stage RESP fitting. Protocol 3 generated the most accurate predictions with a root mean square (RMS) error of 1.2 kcal mol(-1) for the entire data set. It was found that the deficiency of the standard OPLS-AA parameters, protocol 1 (RMS error 2.4 kcal mol(-1) overall), was mostly due to compounds with more than three chlorine substituents on an aromatic ring. For this latter subset, the RMS errors were 1.4 kcal mol(-1) (protocol 3) and 4.3 kcal mol(-1) (protocol 1), respectively. We propose new OPLS-AA atom types for aromatic carbon and chlorine atoms in rings with ≥4 Cl-substituents that perform better than the best QM-based approach, resulting in an RMS error of 1.2 kcal mol(-1) for these difficult compounds.

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Year:  2011        PMID: 22187140     DOI: 10.1007/s10822-011-9527-9

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  24 in total

1.  The SAMPL2 blind prediction challenge: introduction and overview.

Authors:  Matthew T Geballe; A Geoffrey Skillman; Anthony Nicholls; J Peter Guthrie; Peter J Taylor
Journal:  J Comput Aided Mol Des       Date:  2010-05-09       Impact factor: 3.686

2.  Rapid Prediction of Solvation Free Energy. 1. An Extensive Test of Linear Interaction Energy (LIE).

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Journal:  J Chem Theory Comput       Date:  2010-05-11       Impact factor: 6.006

3.  Prediction of Absolute Solvation Free Energies using Molecular Dynamics Free Energy Perturbation and the OPLS Force Field.

Authors:  Devleena Shivakumar; Joshua Williams; Yujie Wu; Wolfgang Damm; John Shelley; Woody Sherman
Journal:  J Chem Theory Comput       Date:  2010-04-14       Impact factor: 6.006

4.  A blind challenge for computational solvation free energies: introduction and overview.

Authors:  J Peter Guthrie
Journal:  J Phys Chem B       Date:  2009-04-09       Impact factor: 2.991

5.  Conformation of alkanes in the gas phase and pure liquids.

Authors:  Laura L Thomas; Theodore J Christakis; William L Jorgensen
Journal:  J Phys Chem B       Date:  2006-10-26       Impact factor: 2.991

6.  Polarization Effects for Hydrogen-Bonded Complexes of Substituted Phenols with Water and Chloride Ion.

Authors:  William L Jorgensen; Kasper P Jensen; Anastassia N Alexandrova
Journal:  J Chem Theory Comput       Date:  2007-11-01       Impact factor: 6.006

7.  Accurate Calculation of Hydration Free Energies using Pair-Specific Lennard-Jones Parameters in the CHARMM Drude Polarizable Force Field.

Authors:  Christopher M Baker; Pedro E M Lopes; Xiao Zhu; Benoît Roux; Alexander D Mackerell
Journal:  J Chem Theory Comput       Date:  2010-03-01       Impact factor: 6.006

8.  MDAnalysis: a toolkit for the analysis of molecular dynamics simulations.

Authors:  Naveen Michaud-Agrawal; Elizabeth J Denning; Thomas B Woolf; Oliver Beckstein
Journal:  J Comput Chem       Date:  2011-04-15       Impact factor: 3.376

9.  Combination of RISM and Cheminformatics for Efficient Predictions of Hydration Free Energy of Polyfragment Molecules: Application to a Set of Organic Pollutants.

Authors:  Ekaterina L Ratkova; Maxim V Fedorov
Journal:  J Chem Theory Comput       Date:  2011-04-22       Impact factor: 6.006

10.  Predictions of hydration free energies from all-atom molecular dynamics simulations.

Authors:  David L Mobley; Christopher I Bayly; Matthew D Cooper; Ken A Dill
Journal:  J Phys Chem B       Date:  2009-04-09       Impact factor: 2.991

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  12 in total

1.  Prediction of free energies of hydration with COSMO-RS on the SAMPL3 data set.

Authors:  Jens Reinisch; Andreas Klamt; Michael Diedenhofen
Journal:  J Comput Aided Mol Des       Date:  2012-05-13       Impact factor: 3.686

2.  Predicting hydration free energies with a hybrid QM/MM approach: an evaluation of implicit and explicit solvation models in SAMPL4.

Authors:  Gerhard König; Frank C Pickard; Ye Mei; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2014-02-07       Impact factor: 3.686

3.  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

4.  Extended solvent-contact model approach to SAMPL4 blind prediction challenge for hydration free energies.

Authors:  Hwangseo Park
Journal:  J Comput Aided Mol Des       Date:  2014-02-20       Impact factor: 3.686

5.  Calculating distribution coefficients based on multi-scale free energy simulations: an evaluation of MM and QM/MM explicit solvent simulations of water-cyclohexane transfer in the SAMPL5 challenge.

Authors:  Gerhard König; Frank C Pickard; Jing Huang; Andrew C Simmonett; Florentina Tofoleanu; Juyong Lee; Pavlo O Dral; Samarjeet Prasad; Michael Jones; Yihan Shao; Walter Thiel; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2016-08-30       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.  An efficient protocol for obtaining accurate hydration free energies using quantum chemistry and reweighting from molecular dynamics simulations.

Authors:  Frank C Pickard; Gerhard König; Andrew C Simmonett; Yihan Shao; Bernard R Brooks
Journal:  Bioorg Med Chem       Date:  2016-08-22       Impact factor: 3.641

8.  Bayesian Model Averaging for Ensemble-Based Estimates of Solvation-Free Energies.

Authors:  Luke J Gosink; Christopher C Overall; Sarah M Reehl; Paul D Whitney; David L Mobley; Nathan A Baker
Journal:  J Phys Chem B       Date:  2017-01-04       Impact factor: 2.991

9.  SAMPL6: calculation of macroscopic pKa values from ab initio quantum mechanical free energies.

Authors:  Edithe Selwa; Ian M Kenney; Oliver Beckstein; Bogdan I Iorga
Journal:  J Comput Aided Mol Des       Date:  2018-08-06       Impact factor: 3.686

10.  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

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