Literature DB >> 33506360

Improving small molecule force fields by identifying and characterizing small molecules with inconsistent parameters.

Jordan N Ehrman1, Victoria T Lim2, Caitlin C Bannan2, Nam Thi1, Daisy Y Kyu1, David L Mobley3,4.   

Abstract

Many molecular simulation methods use force fields to help model and simulate molecules and their behavior in various environments. Force fields are sets of functions and parameters used to calculate the potential energy of a chemical system as a function of the atomic coordinates. Despite the widespread use of force fields, their inadequacies are often thought to contribute to systematic errors in molecular simulations. Furthermore, different force fields tend to give varying results on the same systems with the same simulation settings. Here, we present a pipeline for comparing the geometries of small molecule conformers. We aimed to identify molecules or chemistries that are particularly informative for future force field development because they display inconsistencies between force fields. We applied our pipeline to a subset of the eMolecules database, and highlighted molecules that appear to be parameterized inconsistently across different force fields. We then identified over-represented functional groups in these molecule sets. The molecules and moieties identified by this pipeline may be particularly helpful for future force field parameterization.

Entities:  

Keywords:  Conformer comparison; Force fields; Geometry optimization; Molecular mechanics simulations; Molecular modeling

Mesh:

Substances:

Year:  2021        PMID: 33506360      PMCID: PMC8162916          DOI: 10.1007/s10822-020-00367-1

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


  18 in total

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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.  OPLS3: A Force Field Providing Broad Coverage of Drug-like Small Molecules and Proteins.

Authors:  Edward Harder; Wolfgang Damm; Jon Maple; Chuanjie Wu; Mark Reboul; Jin Yu Xiang; Lingle Wang; Dmitry Lupyan; Markus K Dahlgren; Jennifer L Knight; Joseph W Kaus; David S Cerutti; Goran Krilov; William L Jorgensen; Robert Abel; Richard A Friesner
Journal:  J Chem Theory Comput       Date:  2015-12-01       Impact factor: 6.006

3.  Ligand Entropy in Gas-Phase, Upon Solvation and Protein Complexation. Fast Estimation with Quasi-Newton Hessian.

Authors:  S Wlodek; A G Skillman; A Nicholls
Journal:  J Chem Theory Comput       Date:  2010-07-13       Impact factor: 6.006

4.  OPLS3e: Extending Force Field Coverage for Drug-Like Small Molecules.

Authors:  Katarina Roos; Chuanjie Wu; Wolfgang Damm; Mark Reboul; James M Stevenson; Chao Lu; Markus K Dahlgren; Sayan Mondal; Wei Chen; Lingle Wang; Robert Abel; Richard A Friesner; Edward D Harder
Journal:  J Chem Theory Comput       Date:  2019-03-04       Impact factor: 6.006

Review 5.  Biomolecular force fields: where have we been, where are we now, where do we need to go and how do we get there?

Authors:  Pnina Dauber-Osguthorpe; A T Hagler
Journal:  J Comput Aided Mol Des       Date:  2018-11-30       Impact factor: 3.686

6.  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

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.  Conformer generation with OMEGA: algorithm and validation using high quality structures from the Protein Databank and Cambridge Structural Database.

Authors:  Paul C D Hawkins; A Geoffrey Skillman; Gregory L Warren; Benjamin A Ellingson; Matthew T Stahl
Journal:  J Chem Inf Model       Date:  2010-04-26       Impact factor: 4.956

9.  OpenMM 7: Rapid development of high performance algorithms for molecular dynamics.

Authors:  Peter Eastman; Jason Swails; John D Chodera; Robert T McGibbon; Yutong Zhao; Kyle A Beauchamp; Lee-Ping Wang; Andrew C Simmonett; Matthew P Harrigan; Chaya D Stern; Rafal P Wiewiora; Bernard R Brooks; Vijay S Pande
Journal:  PLoS Comput Biol       Date:  2017-07-26       Impact factor: 4.475

10.  A fixed-charge model for alcohol polarization in the condensed phase, and its role in small molecule hydration.

Authors:  Christopher J Fennell; Karisa L Wymer; David L Mobley
Journal:  J Phys Chem B       Date:  2014-04-17       Impact factor: 2.991

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  4 in total

1.  Development and Benchmarking of Open Force Field v1.0.0-the Parsley Small-Molecule Force Field.

Authors:  Yudong Qiu; Daniel G A Smith; Simon Boothroyd; Hyesu Jang; David F Hahn; Jeffrey Wagner; Caitlin C Bannan; Trevor Gokey; Victoria T Lim; Chaya D Stern; Andrea Rizzi; Bryon Tjanaka; Gary Tresadern; Xavier Lucas; Michael R Shirts; Michael K Gilson; John D Chodera; Christopher I Bayly; David L Mobley; Lee-Ping Wang
Journal:  J Chem Theory Comput       Date:  2021-09-22       Impact factor: 6.578

Review 2.  Molecular dynamics: a powerful tool for studying the medicinal chemistry of ion channel modulators.

Authors:  Daniel Şterbuleac
Journal:  RSC Med Chem       Date:  2021-07-22

3.  Molecular Similarity Perception Based on Machine-Learning Models.

Authors:  Enrico Gandini; Gilles Marcou; Fanny Bonachera; Alexandre Varnek; Stefano Pieraccini; Maurizio Sironi
Journal:  Int J Mol Sci       Date:  2022-05-30       Impact factor: 6.208

4.  Benchmark assessment of molecular geometries and energies from small molecule force fields.

Authors:  Victoria T Lim; David F Hahn; Gary Tresadern; Christopher I Bayly; David L Mobley
Journal:  F1000Res       Date:  2020-12-03
  4 in total

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