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Dataset of AMBER force field parameters of drugs, natural products and steroids for simulations using GROMACS

We provide general AMBER force field (GAFF) parameters for 160 organic molecules including drugs, natural products, and steroids, which can be employed without further processing in molecular dynamics (MD) simulations using GROMACS. We determined these parameters based on quantum mechanical (QM) cal...

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Detalles Bibliográficos
Autores principales: Loschwitz, Jennifer, Jäckering, Anna, Keutmann, Monika, Olagunju, Maryam, Olubiyi, Olujide O., Strodel, Birgit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8027721/
https://www.ncbi.nlm.nih.gov/pubmed/33855133
http://dx.doi.org/10.1016/j.dib.2021.106948
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author Loschwitz, Jennifer
Jäckering, Anna
Keutmann, Monika
Olagunju, Maryam
Olubiyi, Olujide O.
Strodel, Birgit
author_facet Loschwitz, Jennifer
Jäckering, Anna
Keutmann, Monika
Olagunju, Maryam
Olubiyi, Olujide O.
Strodel, Birgit
author_sort Loschwitz, Jennifer
collection PubMed
description We provide general AMBER force field (GAFF) parameters for 160 organic molecules including drugs, natural products, and steroids, which can be employed without further processing in molecular dynamics (MD) simulations using GROMACS. We determined these parameters based on quantum mechanical (QM) calculations involving geometry optimization at the HF6-31G* level of theory. For each molecule we provide a coordinate file of the three-dimensional molecular structure, the topology and the parameter file. The applicability of these parameters was demonstrated by MD simulations of these molecules bound to the active site of the main protease of the coronavirus SARS-CoV-2, 3CL(pro), which is a main player during viral replication causing COVID-19.
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spelling pubmed-80277212021-04-13 Dataset of AMBER force field parameters of drugs, natural products and steroids for simulations using GROMACS Loschwitz, Jennifer Jäckering, Anna Keutmann, Monika Olagunju, Maryam Olubiyi, Olujide O. Strodel, Birgit Data Brief Data Article We provide general AMBER force field (GAFF) parameters for 160 organic molecules including drugs, natural products, and steroids, which can be employed without further processing in molecular dynamics (MD) simulations using GROMACS. We determined these parameters based on quantum mechanical (QM) calculations involving geometry optimization at the HF6-31G* level of theory. For each molecule we provide a coordinate file of the three-dimensional molecular structure, the topology and the parameter file. The applicability of these parameters was demonstrated by MD simulations of these molecules bound to the active site of the main protease of the coronavirus SARS-CoV-2, 3CL(pro), which is a main player during viral replication causing COVID-19. Elsevier 2021-03-15 /pmc/articles/PMC8027721/ /pubmed/33855133 http://dx.doi.org/10.1016/j.dib.2021.106948 Text en © 2021 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Loschwitz, Jennifer
Jäckering, Anna
Keutmann, Monika
Olagunju, Maryam
Olubiyi, Olujide O.
Strodel, Birgit
Dataset of AMBER force field parameters of drugs, natural products and steroids for simulations using GROMACS
title Dataset of AMBER force field parameters of drugs, natural products and steroids for simulations using GROMACS
title_full Dataset of AMBER force field parameters of drugs, natural products and steroids for simulations using GROMACS
title_fullStr Dataset of AMBER force field parameters of drugs, natural products and steroids for simulations using GROMACS
title_full_unstemmed Dataset of AMBER force field parameters of drugs, natural products and steroids for simulations using GROMACS
title_short Dataset of AMBER force field parameters of drugs, natural products and steroids for simulations using GROMACS
title_sort dataset of amber force field parameters of drugs, natural products and steroids for simulations using gromacs
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8027721/
https://www.ncbi.nlm.nih.gov/pubmed/33855133
http://dx.doi.org/10.1016/j.dib.2021.106948
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