Literature DB >> 32298113

The Role of Electrostatics in Enzymes: Do Biomolecular Force Fields Reflect Protein Electric Fields?

Richard T Bradshaw1, Jacek Dziedzic1,2, Chris-Kriton Skylaris1, Jonathan W Essex1.   

Abstract

Preorganization of large, directionally oriented, electric fields inside protein active sites has been proposed as a crucial contributor to catalytic mechanism in many enzymes, and it may be efficiently investigated at the atomistic level with molecular dynamics simulations. Here, we evaluate the ability of the AMOEBA polarizable force field, as well as the additive Amber ff14SB and Charmm C36m models, to describe the electric fields present inside the active site of the peptidyl-prolyl isomerase cyclophilin A. We compare the molecular mechanical electric fields to those calculated with a fully first-principles quantum mechanical (QM) representation of the protein, solvent, and ions, and find that AMOEBA consistently shows far greater correlation with the QM electric fields than either of the additive force fields tested. Catalytically relevant fields calculated with AMOEBA were typically smaller than those observed with additive potentials, but were generally consistent with an electrostatically driven mechanism for catalysis. Our results highlight the accuracy and the potential advantages of using polarizable force fields in systems where accurate electrostatics may be crucial for providing mechanistic insights.

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Year:  2020        PMID: 32298113     DOI: 10.1021/acs.jcim.0c00217

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  6 in total

1.  Integration of Experimental Data and Use of Automated Fitting Methods in Developing Protein Force Fields.

Authors:  Marcelo D Polêto; Justin A Lemkul
Journal:  Commun Chem       Date:  2022-03-18

2.  TUPÃ: Electric field analyses for molecular simulations.

Authors:  Marcelo D Polêto; Justin A Lemkul
Journal:  J Comput Chem       Date:  2022-04-22       Impact factor: 3.672

3.  Water Nanoconfined in a Hydrophobic Pore: Molecular Dynamics Simulations of Transmembrane Protein 175 and the Influence of Water Models.

Authors:  Charlotte I Lynch; Gianni Klesse; Shanlin Rao; Stephen J Tucker; Mark S P Sansom
Journal:  ACS Nano       Date:  2021-11-16       Impact factor: 15.881

Review 4.  Advances in optimizing enzyme electrostatic preorganization.

Authors:  Matthew R Hennefarth; Anastassia N Alexandrova
Journal:  Curr Opin Struct Biol       Date:  2021-07-17       Impact factor: 6.809

5.  Induced Polarization in Molecular Dynamics Simulations of the 5-HT3 Receptor Channel.

Authors:  Gianni Klesse; Shanlin Rao; Stephen J Tucker; Mark S P Sansom
Journal:  J Am Chem Soc       Date:  2020-05-08       Impact factor: 15.419

Review 6.  Computational methods for exploring protein conformations.

Authors:  Jane R Allison
Journal:  Biochem Soc Trans       Date:  2020-08-28       Impact factor: 5.407

  6 in total

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