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Enhanced Conformational Sampling Using Replica Exchange with Collective-Variable Tempering

[Image: see text] The computational study of conformational transitions in RNA and proteins with atomistic molecular dynamics often requires suitable enhanced sampling techniques. We here introduce a novel method where concurrent metadynamics are integrated in a Hamiltonian replica-exchange scheme....

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Autores principales: Gil-Ley, Alejandro, Bussi, Giovanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2015
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4364913/
https://www.ncbi.nlm.nih.gov/pubmed/25838811
http://dx.doi.org/10.1021/ct5009087
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author Gil-Ley, Alejandro
Bussi, Giovanni
author_facet Gil-Ley, Alejandro
Bussi, Giovanni
author_sort Gil-Ley, Alejandro
collection PubMed
description [Image: see text] The computational study of conformational transitions in RNA and proteins with atomistic molecular dynamics often requires suitable enhanced sampling techniques. We here introduce a novel method where concurrent metadynamics are integrated in a Hamiltonian replica-exchange scheme. The ladder of replicas is built with different strengths of the bias potential exploiting the tunability of well-tempered metadynamics. Using this method, free-energy barriers of individual collective variables are significantly reduced compared with simple force-field scaling. The introduced methodology is flexible and allows adaptive bias potentials to be self-consistently constructed for a large number of simple collective variables, such as distances and dihedral angles. The method is tested on alanine dipeptide and applied to the difficult problem of conformational sampling in a tetranucleotide.
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spelling pubmed-43649132015-03-31 Enhanced Conformational Sampling Using Replica Exchange with Collective-Variable Tempering Gil-Ley, Alejandro Bussi, Giovanni J Chem Theory Comput [Image: see text] The computational study of conformational transitions in RNA and proteins with atomistic molecular dynamics often requires suitable enhanced sampling techniques. We here introduce a novel method where concurrent metadynamics are integrated in a Hamiltonian replica-exchange scheme. The ladder of replicas is built with different strengths of the bias potential exploiting the tunability of well-tempered metadynamics. Using this method, free-energy barriers of individual collective variables are significantly reduced compared with simple force-field scaling. The introduced methodology is flexible and allows adaptive bias potentials to be self-consistently constructed for a large number of simple collective variables, such as distances and dihedral angles. The method is tested on alanine dipeptide and applied to the difficult problem of conformational sampling in a tetranucleotide. American Chemical Society 2015-02-06 2015-03-10 /pmc/articles/PMC4364913/ /pubmed/25838811 http://dx.doi.org/10.1021/ct5009087 Text en Copyright © 2015 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes.
spellingShingle Gil-Ley, Alejandro
Bussi, Giovanni
Enhanced Conformational Sampling Using Replica Exchange with Collective-Variable Tempering
title Enhanced Conformational Sampling Using Replica Exchange with Collective-Variable Tempering
title_full Enhanced Conformational Sampling Using Replica Exchange with Collective-Variable Tempering
title_fullStr Enhanced Conformational Sampling Using Replica Exchange with Collective-Variable Tempering
title_full_unstemmed Enhanced Conformational Sampling Using Replica Exchange with Collective-Variable Tempering
title_short Enhanced Conformational Sampling Using Replica Exchange with Collective-Variable Tempering
title_sort enhanced conformational sampling using replica exchange with collective-variable tempering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4364913/
https://www.ncbi.nlm.nih.gov/pubmed/25838811
http://dx.doi.org/10.1021/ct5009087
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