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Benchmarking Adaptive Steered Molecular Dynamics (ASMD) on CHARMM Force Fields

The potentials of mean force (PMFs) along the end‐to‐end distance of two different helical peptides have been obtained and benchmarked using the adaptive steered molecular dynamics (ASMD) method. The results depend strongly on the choice of force field driving the underlying all‐atom molecular dynam...

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Detalles Bibliográficos
Autores principales: Allen, Caley, Bureau, Hailey R., McGee, T. Dwight, Quirk, Stephen, Hernandez, Rigoberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9543079/
https://www.ncbi.nlm.nih.gov/pubmed/35594194
http://dx.doi.org/10.1002/cphc.202200175
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author Allen, Caley
Bureau, Hailey R.
McGee, T. Dwight
Quirk, Stephen
Hernandez, Rigoberto
author_facet Allen, Caley
Bureau, Hailey R.
McGee, T. Dwight
Quirk, Stephen
Hernandez, Rigoberto
author_sort Allen, Caley
collection PubMed
description The potentials of mean force (PMFs) along the end‐to‐end distance of two different helical peptides have been obtained and benchmarked using the adaptive steered molecular dynamics (ASMD) method. The results depend strongly on the choice of force field driving the underlying all‐atom molecular dynamics, and are reported with respect to the three most popular CHARMM force field versions: c22, c27 and c36. Two small peptides, [Formula: see text] and 1PEF, serve as the particular case studies. The comparisons between the versions of the CHARMM force fields provides both a qualitative and quantitative look at their performance in forced unfolding simulations in which peptides undergo large changes in structural conformations. We find that ASMD with the underlying c36 force field provides the most robust results for the selected benchmark peptides.
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spelling pubmed-95430792022-10-14 Benchmarking Adaptive Steered Molecular Dynamics (ASMD) on CHARMM Force Fields Allen, Caley Bureau, Hailey R. McGee, T. Dwight Quirk, Stephen Hernandez, Rigoberto Chemphyschem Research Articles The potentials of mean force (PMFs) along the end‐to‐end distance of two different helical peptides have been obtained and benchmarked using the adaptive steered molecular dynamics (ASMD) method. The results depend strongly on the choice of force field driving the underlying all‐atom molecular dynamics, and are reported with respect to the three most popular CHARMM force field versions: c22, c27 and c36. Two small peptides, [Formula: see text] and 1PEF, serve as the particular case studies. The comparisons between the versions of the CHARMM force fields provides both a qualitative and quantitative look at their performance in forced unfolding simulations in which peptides undergo large changes in structural conformations. We find that ASMD with the underlying c36 force field provides the most robust results for the selected benchmark peptides. John Wiley and Sons Inc. 2022-07-05 2022-09-05 /pmc/articles/PMC9543079/ /pubmed/35594194 http://dx.doi.org/10.1002/cphc.202200175 Text en © 2022 The Authors. ChemPhysChem published by Wiley-VCH GmbH https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Allen, Caley
Bureau, Hailey R.
McGee, T. Dwight
Quirk, Stephen
Hernandez, Rigoberto
Benchmarking Adaptive Steered Molecular Dynamics (ASMD) on CHARMM Force Fields
title Benchmarking Adaptive Steered Molecular Dynamics (ASMD) on CHARMM Force Fields
title_full Benchmarking Adaptive Steered Molecular Dynamics (ASMD) on CHARMM Force Fields
title_fullStr Benchmarking Adaptive Steered Molecular Dynamics (ASMD) on CHARMM Force Fields
title_full_unstemmed Benchmarking Adaptive Steered Molecular Dynamics (ASMD) on CHARMM Force Fields
title_short Benchmarking Adaptive Steered Molecular Dynamics (ASMD) on CHARMM Force Fields
title_sort benchmarking adaptive steered molecular dynamics (asmd) on charmm force fields
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9543079/
https://www.ncbi.nlm.nih.gov/pubmed/35594194
http://dx.doi.org/10.1002/cphc.202200175
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