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小分子的 AMOEBA 极化力场自动化:Poltype 2。

Automation of AMOEBA polarizable force field for small molecules: Poltype 2.

机构信息

Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas, USA.

出版信息

J Comput Chem. 2022 Sep 5;43(23):1530-1542. doi: 10.1002/jcc.26954. Epub 2022 Jul 1.

DOI:10.1002/jcc.26954
PMID:35778723
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9329217/
Abstract

A next-generation protocol (Poltype 2) has been developed which automatically generates AMOEBA polarizable force field parameters for small molecules. Both features and computational efficiency have been drastically improved. Notable advances include improved database transferability using SMILES, robust torsion fitting, non-aromatic ring torsion parameterization, coupled torsion-torsion parameterization, Van der Waals parameter refinement using ab initio dimer data and an intelligent fragmentation scheme that produces parameters with dramatically reduced ab initio computational cost. Additional improvements include better local frame assignment for atomic multipoles, automated formal charge assignment, Zwitterion detection, smart memory resource defaults, parallelized fragment job submission, incorporation of Psi4 quantum package, ab initio error handling, ionization state enumeration, hydration free energy prediction and binding free energy prediction. For validation, we have applied Poltype 2 to ~1000 FDA approved drug molecules from DrugBank. The ab initio molecular dipole moments and electrostatic potential values were compared with Poltype 2 derived AMOEBA counterparts. Parameters were further substantiated by calculating hydration free energy (HFE) on 40 small organic molecules and were compared with experimental data, resulting in an RMSE error of 0.59 kcal/mol. The torsion database has expanded to include 3543 fragments derived from FDA approved drugs. Poltype 2 provides a convenient utility for applications including binding free energy prediction for computational drug discovery. Further improvement will focus on automated parameter refinement by experimental liquid properties, expansion of the Van der Waals parameter database and automated parametrization of modified bio-fragments such as amino and nucleic acids.

摘要

一种下一代协议(Poltype 2)已经被开发出来,可以自动为小分子生成 AMOEBA 极化力场参数。其功能和计算效率都有了显著提高。显著的进展包括使用 SMILES 提高数据库可转移性、稳健的扭转拟合、非芳香环扭转参数化、耦合扭转-扭转参数化、使用从头算二聚体数据改进范德华参数细化以及产生参数的智能碎片方案,大大降低了从头算计算成本。其他改进包括更好的原子多极子局部框架分配、自动形式电荷分配、两性离子检测、智能内存资源默认值、并行碎片作业提交、Psi4 量子包的纳入、从头算错误处理、离子态枚举、水合自由能预测和结合自由能预测。为了验证,我们将 Poltype 2 应用于来自 DrugBank 的约 1000 种 FDA 批准的药物分子。将从头算分子偶极矩和静电势能值与 Poltype 2 衍生的 AMOEBA 对应物进行比较。通过计算 40 个小分子的水合自由能(HFE)进一步证实了参数,并与实验数据进行了比较,得到的 RMSE 误差为 0.59 kcal/mol。扭转数据库已扩展到包括 3543 个源自 FDA 批准药物的片段。Poltype 2 为包括计算药物发现中的结合自由能预测在内的应用提供了便利的实用程序。进一步的改进将集中在通过实验液体性质自动参数细化、扩展范德华参数数据库以及自动参数化修饰的生物片段(如氨基酸和核酸)上。

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