Literature DB >> 24477800

The SAMPL4 hydration challenge: evaluation of partial charge sets with explicit-water molecular dynamics simulations.

Hari S Muddana1, Neil V Sapra, Andrew T Fenley, Michael K Gilson.   

Abstract

We used blind predictions of the 47 hydration free energies in the SAMPL4 challenge to test multiple partial charge models in the context of explicit solvent free energy simulations with the general AMBER force field. One of the partial charge models, IPolQ-Mod, is a fast continuum solvent-based implementation of the IPolQ approach. The AM1-BCC, restrained electrostatic potential (RESP) and IpolQ-Mod approaches all perform reasonably well (R(2) > 0.8), while VCharge, though faster, gives less accurate results (R(2) of 0.5). The AM1-BCC results are more accurate than those of RESP for tertiary amines and nitrates, but the overall difference in accuracy between these methods is not statistically significant. Interestingly, the IPolQ-Mod method is found to yield partial charges in very close agreement with RESP. This observation suggests that the success of RESP may be attributed to its fortuitously approximating the arguably more rigorous IPolQ approach.

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Year:  2014        PMID: 24477800      PMCID: PMC4006311          DOI: 10.1007/s10822-014-9714-6

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


  30 in total

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Authors:  Araz Jakalian; David B Jack; Christopher I Bayly
Journal:  J Comput Chem       Date:  2002-12       Impact factor: 3.376

2.  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

3.  Computations of Absolute Solvation Free Energies of Small Molecules Using Explicit and Implicit Solvent Model.

Authors:  Devleena Shivakumar; Yuqing Deng; Benoît Roux
Journal:  J Chem Theory Comput       Date:  2009-03-24       Impact factor: 6.006

4.  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

5.  Automatic atom type and bond type perception in molecular mechanical calculations.

Authors:  Junmei Wang; Wei Wang; Peter A Kollman; David A Case
Journal:  J Mol Graph Model       Date:  2006-02-03       Impact factor: 2.518

6.  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

7.  Electrostatic screening of charge and dipole interactions with the helix backbone.

Authors:  D J Lockhart; P S Kim
Journal:  Science       Date:  1993-04-09       Impact factor: 47.728

8.  Derivation of fixed partial charges for amino acids accommodating a specific water model and implicit polarization.

Authors:  David S Cerutti; Julia E Rice; William C Swope; David A Case
Journal:  J Phys Chem B       Date:  2013-02-18       Impact factor: 2.991

Review 9.  The SAMPL4 host-guest blind prediction challenge: an overview.

Authors:  Hari S Muddana; Andrew T Fenley; David L Mobley; Michael K Gilson
Journal:  J Comput Aided Mol Des       Date:  2014-03-06       Impact factor: 3.686

10.  The electrostatic response of water to neutral polar solutes: implications for continuum solvent modeling.

Authors:  Hari S Muddana; Neil V Sapra; Andrew T Fenley; Michael K Gilson
Journal:  J Chem Phys       Date:  2013-06-14       Impact factor: 3.488

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  13 in total

1.  Extensive all-atom Monte Carlo sampling and QM/MM corrections in the SAMPL4 hydration free energy challenge.

Authors:  Samuel Genheden; Ana I Cabedo Martinez; Michael P Criddle; Jonathan W Essex
Journal:  J Comput Aided Mol Des       Date:  2014-02-01       Impact factor: 3.686

2.  Data-driven analysis of the number of Lennard-Jones types needed in a force field.

Authors:  Michael Schauperl; Sophie Kantonen; Lee-Ping Wang; Michael K Gilson
Journal:  Commun Chem       Date:  2020-11-13

Review 3.  Blind prediction of solvation free energies from the SAMPL4 challenge.

Authors:  David L Mobley; Karisa L Wymer; Nathan M Lim; J Peter Guthrie
Journal:  J Comput Aided Mol Des       Date:  2014-03-11       Impact factor: 3.686

4.  Applicability of a thermodynamic cycle approach for a force field parametrization targeting non-aqueous solvation free energies.

Authors:  Andreas Mecklenfeld; Gabriele Raabe
Journal:  J Comput Aided Mol Des       Date:  2019-11-28       Impact factor: 3.686

5.  Improving Force Field Accuracy by Training against Condensed-Phase Mixture Properties.

Authors:  Simon Boothroyd; Owen C Madin; David L Mobley; Lee-Ping Wang; John D Chodera; Michael R Shirts
Journal:  J Chem Theory Comput       Date:  2022-05-09       Impact factor: 6.578

6.  An explicit-solvent hybrid QM and MM approach for predicting pKa of small molecules in SAMPL6 challenge.

Authors:  Samarjeet Prasad; Jing Huang; Qiao Zeng; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2018-10-01       Impact factor: 3.686

7.  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

8.  SAMPL6 Octanol-water partition coefficients from alchemical free energy calculations with MBIS atomic charges.

Authors:  Maximiliano Riquelme; Esteban Vöhringer-Martinez
Journal:  J Comput Aided Mol Des       Date:  2020-01-20       Impact factor: 3.686

9.  Approaches for calculating solvation free energies and enthalpies demonstrated with an update of the FreeSolv database.

Authors:  Guilherme Duarte Ramos Matos; Daisy Y Kyu; Hannes H Loeffler; John D Chodera; Michael R Shirts; David L Mobley
Journal:  J Chem Eng Data       Date:  2017-04-24       Impact factor: 2.694

10.  A deep learning approach for the blind logP prediction in SAMPL6 challenge.

Authors:  Samarjeet Prasad; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2020-01-30       Impact factor: 3.686

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