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用于使用GROMACS进行模拟的药物、天然产物和类固醇的AMBER力场参数数据集。

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

作者信息

Loschwitz Jennifer, Jäckering Anna, Keutmann Monika, Olagunju Maryam, Olubiyi Olujide O, Strodel Birgit

机构信息

Institute of Biological Information Processing: Structural Biochemistry (IBI-7), Forschungszentrum Jülich, Jülich 52428, Germany.

Institute of Theoretical and Computational Chemistry, Heinrich Heine University Düsseldorf, Düsseldorf 40225, Germany.

出版信息

Data Brief. 2021 Mar 15;35:106948. doi: 10.1016/j.dib.2021.106948. eCollection 2021 Apr.

Abstract

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, which is a main player during viral replication causing COVID-19.

摘要

我们为160种有机分子提供了通用琥珀力场(GAFF)参数,这些分子包括药物、天然产物和类固醇,可在使用GROMACS进行分子动力学(MD)模拟时直接使用,无需进一步处理。我们基于量子力学(QM)计算确定了这些参数,计算涉及在HF6-31G*理论水平上的几何优化。对于每个分子,我们提供了三维分子结构的坐标文件、拓扑文件和参数文件。通过对这些分子与冠状病毒SARS-CoV-2主要蛋白酶3CL活性位点结合的MD模拟,证明了这些参数的适用性,3CL是导致COVID-19的病毒复制过程中的主要参与者。

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4
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