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An explicit-solvent conformation search method using open software

Computer modeling is a popular tool to identify the most-probable conformers of a molecule. Although the solvent can have a large effect on the stability of a conformation, many popular conformational search methods are only capable of describing molecules in the gas phase or with an implicit solven...

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Detalles Bibliográficos
Autores principales: Gaalswyk, Kari, Rowley, Christopher N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4893328/
https://www.ncbi.nlm.nih.gov/pubmed/27280078
http://dx.doi.org/10.7717/peerj.2088
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author Gaalswyk, Kari
Rowley, Christopher N.
author_facet Gaalswyk, Kari
Rowley, Christopher N.
author_sort Gaalswyk, Kari
collection PubMed
description Computer modeling is a popular tool to identify the most-probable conformers of a molecule. Although the solvent can have a large effect on the stability of a conformation, many popular conformational search methods are only capable of describing molecules in the gas phase or with an implicit solvent model. We have developed a work-flow for performing a conformation search on explicitly-solvated molecules using open source software. This method uses replica exchange molecular dynamics (REMD) to sample the conformational states of the molecule efficiently. Cluster analysis is used to identify the most probable conformations from the simulated trajectory. This work-flow was tested on drug molecules α-amanitin and cabergoline to illustrate its capabilities and effectiveness. The preferred conformations of these molecules in gas phase, implicit solvent, and explicit solvent are significantly different.
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spelling pubmed-48933282016-06-08 An explicit-solvent conformation search method using open software Gaalswyk, Kari Rowley, Christopher N. PeerJ Biophysics Computer modeling is a popular tool to identify the most-probable conformers of a molecule. Although the solvent can have a large effect on the stability of a conformation, many popular conformational search methods are only capable of describing molecules in the gas phase or with an implicit solvent model. We have developed a work-flow for performing a conformation search on explicitly-solvated molecules using open source software. This method uses replica exchange molecular dynamics (REMD) to sample the conformational states of the molecule efficiently. Cluster analysis is used to identify the most probable conformations from the simulated trajectory. This work-flow was tested on drug molecules α-amanitin and cabergoline to illustrate its capabilities and effectiveness. The preferred conformations of these molecules in gas phase, implicit solvent, and explicit solvent are significantly different. PeerJ Inc. 2016-05-31 /pmc/articles/PMC4893328/ /pubmed/27280078 http://dx.doi.org/10.7717/peerj.2088 Text en © 2016 Gaalswyk & Rowley http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Biophysics
Gaalswyk, Kari
Rowley, Christopher N.
An explicit-solvent conformation search method using open software
title An explicit-solvent conformation search method using open software
title_full An explicit-solvent conformation search method using open software
title_fullStr An explicit-solvent conformation search method using open software
title_full_unstemmed An explicit-solvent conformation search method using open software
title_short An explicit-solvent conformation search method using open software
title_sort explicit-solvent conformation search method using open software
topic Biophysics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4893328/
https://www.ncbi.nlm.nih.gov/pubmed/27280078
http://dx.doi.org/10.7717/peerj.2088
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