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myPresto/omegagene 2020: a molecular dynamics simulation engine for virtual-system coupled sampling
The molecular dynamics (MD) method is a promising approach for investigating the molecular mechanisms of microscopic phenomena. In particular, generalized ensemble MD methods can efficiently explore the conformational space with a rugged free-energy surface. However, the implementation and acquisiti...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Biophysical Society of Japan
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671739/ https://www.ncbi.nlm.nih.gov/pubmed/33240741 http://dx.doi.org/10.2142/biophysico.BSJ-2020013 |
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author | Kasahara, Kota Terazawa, Hiroki Itaya, Hayato Goto, Satoshi Nakamura, Haruki Takahashi, Takuya Higo, Junichi |
author_facet | Kasahara, Kota Terazawa, Hiroki Itaya, Hayato Goto, Satoshi Nakamura, Haruki Takahashi, Takuya Higo, Junichi |
author_sort | Kasahara, Kota |
collection | PubMed |
description | The molecular dynamics (MD) method is a promising approach for investigating the molecular mechanisms of microscopic phenomena. In particular, generalized ensemble MD methods can efficiently explore the conformational space with a rugged free-energy surface. However, the implementation and acquisition of technical knowledge for each generalized ensemble MD method are not straightforward for end-users. Here, we present a new version of the myPresto/omegagene software, which is an MD simulation engine tailored for a series of generalized ensemble methods, which are virtual-system coupled multicanonical MD (V-McMD), virtual-system coupled adaptive umbrella sampling (V-AUS), and virtual-system coupled canonical MD (VcMD). This program has been applied in several studies analyzing free-energy landscapes of a variety of molecular systems with all-atom simulations. The updated version provides new functionality for coarse-grained simulations powered by the hydrophobicity scale method. The software package includes a step-by-step tutorial document for enhanced conformational sampling of the poly-glutamine (poly-Q) oligomer expressed as a one-bead per residue model. The myPresto/omegagene software is freely available at the following URL: https://github.com/kotakasahara/omegagene under the Apache2 license. |
format | Online Article Text |
id | pubmed-7671739 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Biophysical Society of Japan |
record_format | MEDLINE/PubMed |
spelling | pubmed-76717392020-11-24 myPresto/omegagene 2020: a molecular dynamics simulation engine for virtual-system coupled sampling Kasahara, Kota Terazawa, Hiroki Itaya, Hayato Goto, Satoshi Nakamura, Haruki Takahashi, Takuya Higo, Junichi Biophys Physicobiol Database and Computer Program The molecular dynamics (MD) method is a promising approach for investigating the molecular mechanisms of microscopic phenomena. In particular, generalized ensemble MD methods can efficiently explore the conformational space with a rugged free-energy surface. However, the implementation and acquisition of technical knowledge for each generalized ensemble MD method are not straightforward for end-users. Here, we present a new version of the myPresto/omegagene software, which is an MD simulation engine tailored for a series of generalized ensemble methods, which are virtual-system coupled multicanonical MD (V-McMD), virtual-system coupled adaptive umbrella sampling (V-AUS), and virtual-system coupled canonical MD (VcMD). This program has been applied in several studies analyzing free-energy landscapes of a variety of molecular systems with all-atom simulations. The updated version provides new functionality for coarse-grained simulations powered by the hydrophobicity scale method. The software package includes a step-by-step tutorial document for enhanced conformational sampling of the poly-glutamine (poly-Q) oligomer expressed as a one-bead per residue model. The myPresto/omegagene software is freely available at the following URL: https://github.com/kotakasahara/omegagene under the Apache2 license. The Biophysical Society of Japan 2020-10-15 /pmc/articles/PMC7671739/ /pubmed/33240741 http://dx.doi.org/10.2142/biophysico.BSJ-2020013 Text en 2020 THE BIOPHYSICAL SOCIETY OF JAPAN https://creativecommons.org/licenses/by-nc-sa/4.0/This article is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. To view a copy of this license, visit
https://creativecommons.org/licenses/by-nc-sa/4.0/. |
spellingShingle | Database and Computer Program Kasahara, Kota Terazawa, Hiroki Itaya, Hayato Goto, Satoshi Nakamura, Haruki Takahashi, Takuya Higo, Junichi myPresto/omegagene 2020: a molecular dynamics simulation engine for virtual-system coupled sampling |
title | myPresto/omegagene 2020: a molecular dynamics simulation engine for virtual-system coupled sampling |
title_full | myPresto/omegagene 2020: a molecular dynamics simulation engine for virtual-system coupled sampling |
title_fullStr | myPresto/omegagene 2020: a molecular dynamics simulation engine for virtual-system coupled sampling |
title_full_unstemmed | myPresto/omegagene 2020: a molecular dynamics simulation engine for virtual-system coupled sampling |
title_short | myPresto/omegagene 2020: a molecular dynamics simulation engine for virtual-system coupled sampling |
title_sort | mypresto/omegagene 2020: a molecular dynamics simulation engine for virtual-system coupled sampling |
topic | Database and Computer Program |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671739/ https://www.ncbi.nlm.nih.gov/pubmed/33240741 http://dx.doi.org/10.2142/biophysico.BSJ-2020013 |
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