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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...

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Detalles Bibliográficos
Autores principales: Vitalini, F., Noé, F., Keller, B.G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
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].
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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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