Literature DB >> 27341007

Evaluating Parametrization Protocols for Hydration Free Energy Calculations with the AMOEBA Polarizable Force Field.

Richard T Bradshaw1, Jonathan W Essex1.   

Abstract

Hydration free energy (HFE) calculations are often used to assess the performance of biomolecular force fields and the quality of assigned parameters. The AMOEBA polarizable force field moves beyond traditional pairwise additive models of electrostatics and may be expected to improve upon predictions of thermodynamic quantities such as HFEs over and above fixed-point-charge models. The recent SAMPL4 challenge evaluated the AMOEBA polarizable force field in this regard but showed substantially worse results than those using the fixed-point-charge GAFF model. Starting with a set of automatically generated AMOEBA parameters for the SAMPL4 data set, we evaluate the cumulative effects of a series of incremental improvements in parametrization protocol, including both solute and solvent model changes. Ultimately, the optimized AMOEBA parameters give a set of results that are not statistically significantly different from those of GAFF in terms of signed and unsigned error metrics. This allows us to propose a number of guidelines for new molecule parameter derivation with AMOEBA, which we expect to have benefits for a range of biomolecular simulation applications such as protein-ligand binding studies.

Entities:  

Year:  2016        PMID: 27341007     DOI: 10.1021/acs.jctc.6b00276

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  10 in total

1.  Toward Learned Chemical Perception of Force Field Typing Rules.

Authors:  Camila Zanette; Caitlin C Bannan; Christopher I Bayly; Josh Fass; Michael K Gilson; Michael R Shirts; John D Chodera; David L Mobley
Journal:  J Chem Theory Comput       Date:  2018-12-24       Impact factor: 6.006

2.  Perspective: Quantum mechanical methods in biochemistry and biophysics.

Authors:  Qiang Cui
Journal:  J Chem Phys       Date:  2016-10-14       Impact factor: 3.488

3.  On the faithfulness of molecular mechanics representations of proteins towards quantum-mechanical energy surfaces.

Authors:  Gerhard König; Sereina Riniker
Journal:  Interface Focus       Date:  2020-10-16       Impact factor: 3.906

4.  Predicting partition coefficients of drug-like molecules in the SAMPL6 challenge with Drude polarizable force fields.

Authors:  Ye Ding; You Xu; Cheng Qian; Jinfeng Chen; Jian Zhu; Houhou Huang; Yi Shi; Jing Huang
Journal:  J Comput Aided Mol Des       Date:  2020-01-20       Impact factor: 3.686

5.  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

6.  Testing the Limitations of MD-Based Local Electric Fields Using the Vibrational Stark Effect in Solution: Penicillin G as a Test Case.

Authors:  Jacek Kozuch; Samuel H Schneider; Chu Zheng; Zhe Ji; Richard T Bradshaw; Steven G Boxer
Journal:  J Phys Chem B       Date:  2021-04-26       Impact factor: 2.991

Review 7.  Advanced Potential Energy Surfaces for Molecular Simulation.

Authors:  Alex Albaugh; Henry A Boateng; Richard T Bradshaw; Omar N Demerdash; Jacek Dziedzic; Yuezhi Mao; Daniel T Margul; Jason Swails; Qiao Zeng; David A Case; Peter Eastman; Lee-Ping Wang; Jonathan W Essex; Martin Head-Gordon; Vijay S Pande; Jay W Ponder; Yihan Shao; Chris-Kriton Skylaris; Ilian T Todorov; Mark E Tuckerman; Teresa Head-Gordon
Journal:  J Phys Chem B       Date:  2016-09-22       Impact factor: 3.466

8.  Evaluation of solvation free energies for small molecules with the AMOEBA polarizable force field.

Authors:  Noor Asidah Mohamed; Richard T Bradshaw; Jonathan W Essex
Journal:  J Comput Chem       Date:  2016-10-19       Impact factor: 3.376

9.  Semiclassical Vibrational Spectroscopy of Biological Molecules Using Force Fields.

Authors:  Fabio Gabas; Riccardo Conte; Michele Ceotto
Journal:  J Chem Theory Comput       Date:  2020-05-20       Impact factor: 6.006

10.  The automated optimisation of a coarse-grained force field using free energy data.

Authors:  Javier Caceres-Delpiano; Lee-Ping Wang; Jonathan W Essex
Journal:  Phys Chem Chem Phys       Date:  2021-11-10       Impact factor: 3.676

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.