Literature DB >> 31396897

Atomistic Force Fields for Proteins.

Robert B Best1.   

Abstract

All-atom, classical force fields for protein molecular dynamics (MD) simulations currently occupy a sweet spot in the universe of computational models, sufficiently detailed to be of predictive value in many cases, yet also simple enough that some biologically relevant time scales (microseconds or more) can now be sampled via specialized hardware or enhanced sampling methods. However, due to their long evolutionary history, there is now a myriad of force field branches in current use, which can make it hard for those entering the simulation field to know which would be the best set of parameters for a given application. In this chapter, I try to give an overview of the historical motivation for the different force fields available, suggestions for how to determine the most appropriate model and what to do if the results are in conflict with experimental evidence.

Keywords:  AMBER; CHARMM; Conformational change; GROMOS; Membrane proteins; OPLS; Protein folding; Transferable model; Unfolded state

Mesh:

Substances:

Year:  2019        PMID: 31396897     DOI: 10.1007/978-1-4939-9608-7_1

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

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Journal:  Drug Discov Today       Date:  2020-09-30       Impact factor: 7.851

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Journal:  Curr Opin Struct Biol       Date:  2022-02-23       Impact factor: 6.809

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4.  Integrating single-molecule spectroscopy and simulations for the study of intrinsically disordered proteins.

Authors:  Jhullian J Alston; Andrea Soranno; Alex S Holehouse
Journal:  Methods       Date:  2021-04-06       Impact factor: 3.608

  4 in total

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