Development and Comprehensive Benchmark of a High-Quality AMBER-Consistent Small Molecule Force Field with Broad Chemical Space Coverage for Molecular Modeling and Free Energy Calculation

IF 5.7 1区 化学 Q2 CHEMISTRY, PHYSICAL
Bai Xue, Qingyi Yang, Qiaochu Zhang, Xiao Wan, Dong Fang, Xiaolu Lin, Guangxu Sun, Gianpaolo Gobbo, Fenglei Cao, Alan M. Mathiowetz, Benjamin J. Burke, Robert A. Kumpf, Brajesh K. Rai, Geoffrey P. F. Wood, Frank C. Pickard IV, Junmei Wang, Peiyu Zhang, Jian Ma, Yide Alan Jiang, Shuhao Wen, Xinjun Hou*, Junjie Zou* and Mingjun Yang*, 
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引用次数: 0

Abstract

Biomolecular simulations have become an essential tool in contemporary drug discovery, and molecular mechanics force fields (FFs) constitute its cornerstone. Developing a high quality and broad coverage general FF is a significant undertaking that requires substantial expert knowledge and computing resources, which is beyond the scope of general practitioners. Existing FFs originate from only a limited number of groups and organizations, and they either suffer from limited numbers of training sets, lower than desired quality because of oversimplified representations, or are costly for the molecular modeling community to access. To address these issues, in this work, we developed an AMBER-consistent small molecule FF with extensive chemical space coverage, and we provide Open Access parameters for the entire modeling community. To validate our FF, we carried out benchmarks of quantum mechanics (QM)/molecular mechanics conformer comparison and free energy perturbation calculations on several benchmark data sets. Our FF achieves a higher level of performance at reproducing QM energies and geometries than two popular open-source FFs, OpenFF2 and GAFF2. In relative binding free energy calculations for 31 protein–ligand data sets, comprising 1079 pairs of ligands, the new FF achieves an overall root-mean-square error of 1.19 kcal/mol for ΔΔG and 0.92 kcal/mol for ΔG on a subset of 463 ligands without bespoke fitting to the data sets. The results are on par with those of the leading commercial series of OPLS FFs.

Abstract Image

Abstract Image

用于分子建模和自由能计算的具有广泛化学空间覆盖范围的高质量 AMBER 一致性小分子力场的开发和综合基准。
生物分子模拟已成为当代药物发现的重要工具,而分子力学力场(FF)则是其基石。开发高质量、广覆盖的通用力场是一项艰巨的任务,需要大量的专业知识和计算资源,这超出了普通从业人员的能力范围。现有的力场只来自有限的几个团体和组织,它们要么训练集数量有限,要么由于表述过于简化而导致质量低于预期,要么分子建模界访问成本高昂。为了解决这些问题,在这项工作中,我们开发了一种与 AMBER 一致的小分子 FF,它覆盖了广泛的化学空间,并为整个建模界提供了开放获取的参数。为了验证我们的 FF,我们在几个基准数据集上进行了量子力学(QM)/分子力学构象比较和自由能扰动计算。与 OpenFF2 和 GAFF2 这两种流行的开源 FF 相比,我们的 FF 在重现 QM 能量和几何结构方面达到了更高的性能水平。在 31 个蛋白质配体数据集(包括 1079 对配体)的相对结合自由能计算中,新的 FF 在 463 个配体子集上的 ΔΔG 和 ΔG 的均方根误差分别为 1.19 kcal/mol 和 0.92 kcal/mol,且未对数据集进行定制拟合。结果与领先的 OPLS FF 商业系列相当。
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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
期刊介绍: The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.
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