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Molecular dynamics simulations data of the twenty encoded amino acids in different force fields
We present extensive all-atom Molecular Dynamics (MD) simulation data of the twenty encoded amino acids in explicit water, simulated with different force fields. The termini of the amino acids have been capped to ensure that the dynamics of the Φ and ψ torsion angles are analogues to the dynamics wi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4802541/ https://www.ncbi.nlm.nih.gov/pubmed/27054161 http://dx.doi.org/10.1016/j.dib.2016.02.086 |
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author | Vitalini, F. Noé, F. Keller, B.G. |
author_facet | Vitalini, F. Noé, F. Keller, B.G. |
author_sort | Vitalini, F. |
collection | PubMed |
description | We present extensive all-atom Molecular Dynamics (MD) simulation data of the twenty encoded amino acids in explicit water, simulated with different force fields. The termini of the amino acids have been capped to ensure that the dynamics of the Φ and ψ torsion angles are analogues to the dynamics within a peptide chain. We use representatives of each of the four major force field families: AMBER ff-99SBILDN [1], AMBER ff-03 [2], OPLS-AA/L [3], CHARMM27 [4] and GROMOS43a1 [5], [6]. Our data represents a library and test bed for method development for MD simulations and for force fields development. Part of the data set has been previously used for comparison of the dynamic properties of force fields (Vitalini et al., 2015) [7] and for the construction of peptide basis functions for the variational approach to molecular kinetics [8]. |
format | Online Article Text |
id | pubmed-4802541 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-48025412016-04-06 Molecular dynamics simulations data of the twenty encoded amino acids in different force fields Vitalini, F. Noé, F. Keller, B.G. Data Brief Data Article We present extensive all-atom Molecular Dynamics (MD) simulation data of the twenty encoded amino acids in explicit water, simulated with different force fields. The termini of the amino acids have been capped to ensure that the dynamics of the Φ and ψ torsion angles are analogues to the dynamics within a peptide chain. We use representatives of each of the four major force field families: AMBER ff-99SBILDN [1], AMBER ff-03 [2], OPLS-AA/L [3], CHARMM27 [4] and GROMOS43a1 [5], [6]. Our data represents a library and test bed for method development for MD simulations and for force fields development. Part of the data set has been previously used for comparison of the dynamic properties of force fields (Vitalini et al., 2015) [7] and for the construction of peptide basis functions for the variational approach to molecular kinetics [8]. Elsevier 2016-03-09 /pmc/articles/PMC4802541/ /pubmed/27054161 http://dx.doi.org/10.1016/j.dib.2016.02.086 Text en © 2016 Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Vitalini, F. Noé, F. Keller, B.G. Molecular dynamics simulations data of the twenty encoded amino acids in different force fields |
title | Molecular dynamics simulations data of the twenty encoded amino acids in different force fields |
title_full | Molecular dynamics simulations data of the twenty encoded amino acids in different force fields |
title_fullStr | Molecular dynamics simulations data of the twenty encoded amino acids in different force fields |
title_full_unstemmed | Molecular dynamics simulations data of the twenty encoded amino acids in different force fields |
title_short | Molecular dynamics simulations data of the twenty encoded amino acids in different force fields |
title_sort | molecular dynamics simulations data of the twenty encoded amino acids in different force fields |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4802541/ https://www.ncbi.nlm.nih.gov/pubmed/27054161 http://dx.doi.org/10.1016/j.dib.2016.02.086 |
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