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Accelerated Molecular Dynamics Simulation for Helical Proteins Folding in Explicit Water

In this study, we examined the folding processes of eight helical proteins (2I9M, TC5B, 1WN8, 1V4Z, 1HO2, 1HLL, 2KFE, and 1YYB) at room temperature using the explicit solvent model under the AMBER14SB force field with the accelerated molecular dynamics (AMD) and traditional molecular dynamics (MD),...

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Autores principales: Duan, Lili, Guo, Xiaona, Cong, Yalong, Feng, Guoqiang, Li, Yuchen, Zhang, John Z. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6691143/
https://www.ncbi.nlm.nih.gov/pubmed/31448259
http://dx.doi.org/10.3389/fchem.2019.00540
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author Duan, Lili
Guo, Xiaona
Cong, Yalong
Feng, Guoqiang
Li, Yuchen
Zhang, John Z. H.
author_facet Duan, Lili
Guo, Xiaona
Cong, Yalong
Feng, Guoqiang
Li, Yuchen
Zhang, John Z. H.
author_sort Duan, Lili
collection PubMed
description In this study, we examined the folding processes of eight helical proteins (2I9M, TC5B, 1WN8, 1V4Z, 1HO2, 1HLL, 2KFE, and 1YYB) at room temperature using the explicit solvent model under the AMBER14SB force field with the accelerated molecular dynamics (AMD) and traditional molecular dynamics (MD), respectively. We analyzed and compared the simulation results obtained by these two methods based on several aspects, such as root mean square deviation (RMSD), native contacts, cluster analysis, folding snapshots, free energy landscape, and the evolution of the radius of gyration, which showed that these eight proteins were successfully and consistently folded into the corresponding native structures by AMD simulations carried out at room temperature. In addition, the folding occurred in the range of 40~180 ns after starting from the linear structures of the eight proteins at 300 K. By contrast, these stable folding structures were not found when the traditional molecular dynamics (MD) simulation was used. At the same time, the influence of high temperatures (350, 400, and 450 K) is also further investigated. Study found that the simulation efficiency of AMD is higher than that of MD simulations, regardless of the temperature. Of these temperatures, 300 K is the most suitable temperature for protein folding for all systems. To further investigate the efficiency of AMD, another trajectory was simulated for eight proteins with the same linear structure but different random seeds at 300 K. Both AMD trajectories reached the correct folded structures. Our result clearly shows that AMD simulation are a highly efficient and reliable method for the study of protein folding.
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spelling pubmed-66911432019-08-23 Accelerated Molecular Dynamics Simulation for Helical Proteins Folding in Explicit Water Duan, Lili Guo, Xiaona Cong, Yalong Feng, Guoqiang Li, Yuchen Zhang, John Z. H. Front Chem Chemistry In this study, we examined the folding processes of eight helical proteins (2I9M, TC5B, 1WN8, 1V4Z, 1HO2, 1HLL, 2KFE, and 1YYB) at room temperature using the explicit solvent model under the AMBER14SB force field with the accelerated molecular dynamics (AMD) and traditional molecular dynamics (MD), respectively. We analyzed and compared the simulation results obtained by these two methods based on several aspects, such as root mean square deviation (RMSD), native contacts, cluster analysis, folding snapshots, free energy landscape, and the evolution of the radius of gyration, which showed that these eight proteins were successfully and consistently folded into the corresponding native structures by AMD simulations carried out at room temperature. In addition, the folding occurred in the range of 40~180 ns after starting from the linear structures of the eight proteins at 300 K. By contrast, these stable folding structures were not found when the traditional molecular dynamics (MD) simulation was used. At the same time, the influence of high temperatures (350, 400, and 450 K) is also further investigated. Study found that the simulation efficiency of AMD is higher than that of MD simulations, regardless of the temperature. Of these temperatures, 300 K is the most suitable temperature for protein folding for all systems. To further investigate the efficiency of AMD, another trajectory was simulated for eight proteins with the same linear structure but different random seeds at 300 K. Both AMD trajectories reached the correct folded structures. Our result clearly shows that AMD simulation are a highly efficient and reliable method for the study of protein folding. Frontiers Media S.A. 2019-08-06 /pmc/articles/PMC6691143/ /pubmed/31448259 http://dx.doi.org/10.3389/fchem.2019.00540 Text en Copyright © 2019 Duan, Guo, Cong, Feng, Li and Zhang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Chemistry
Duan, Lili
Guo, Xiaona
Cong, Yalong
Feng, Guoqiang
Li, Yuchen
Zhang, John Z. H.
Accelerated Molecular Dynamics Simulation for Helical Proteins Folding in Explicit Water
title Accelerated Molecular Dynamics Simulation for Helical Proteins Folding in Explicit Water
title_full Accelerated Molecular Dynamics Simulation for Helical Proteins Folding in Explicit Water
title_fullStr Accelerated Molecular Dynamics Simulation for Helical Proteins Folding in Explicit Water
title_full_unstemmed Accelerated Molecular Dynamics Simulation for Helical Proteins Folding in Explicit Water
title_short Accelerated Molecular Dynamics Simulation for Helical Proteins Folding in Explicit Water
title_sort accelerated molecular dynamics simulation for helical proteins folding in explicit water
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6691143/
https://www.ncbi.nlm.nih.gov/pubmed/31448259
http://dx.doi.org/10.3389/fchem.2019.00540
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