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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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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. |
format | Online Article Text |
id | pubmed-8027721 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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