Suppr超能文献

用于可极化 AMOEBA 蛋白质模型的广义 Kirkwood 隐溶剂。

A generalized Kirkwood implicit solvent for the polarizable AMOEBA protein model.

机构信息

Roy J. Carver Department of Biomedical Engineering, The University of Iowa, Iowa City, Iowa 52242, USA.

Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, Iowa 52242, USA.

出版信息

J Chem Phys. 2023 Aug 7;159(5). doi: 10.1063/5.0158914.

Abstract

Computational simulation of biomolecules can provide important insights into protein design, protein-ligand binding interactions, and ab initio biomolecular folding, among other applications. Accurate treatment of the solvent environment is essential in such applications, but the use of explicit solvents can add considerable cost. Implicit treatment of solvent effects using a dielectric continuum model is an attractive alternative to explicit solvation since it is able to describe solvation effects without the inclusion of solvent degrees of freedom. Previously, we described the development and parameterization of implicit solvent models for small molecules. Here, we extend the parameterization of the generalized Kirkwood (GK) implicit solvent model for use with biomolecules described by the AMOEBA force field via the addition of corrections to the calculation of effective radii that account for interstitial spaces that arise within biomolecules. These include element-specific pairwise descreening scale factors, a short-range neck contribution to describe the solvent-excluded space between pairs of nearby atoms, and finally tanh-based rescaling of the overall descreening integral. We then apply the AMOEBA/GK implicit solvent to a set of ten proteins and achieve an average coordinate root mean square deviation for the experimental structures of 2.0 Å across 500 ns simulations. Overall, the continued development of implicit solvent models will help facilitate the simulation of biomolecules on mechanistically relevant timescales.

摘要

生物分子的计算模拟可以为蛋白质设计、蛋白-配体结合相互作用以及从头生物分子折叠等应用提供重要的见解。在这些应用中,准确处理溶剂环境是至关重要的,但使用显式溶剂会增加相当大的成本。使用介电连续体模型隐式处理溶剂效应是显式溶剂化的一种有吸引力的替代方法,因为它能够在不包含溶剂自由度的情况下描述溶剂化效应。此前,我们描述了用于小分子的隐式溶剂模型的开发和参数化。在这里,我们通过添加校正项来扩展广义 Kirkwood (GK) 隐式溶剂模型的参数化,以用于由 AMOEBA 力场描述的生物分子,这些校正项考虑了生物分子内部出现的间隙空间。这些校正项包括元素特定的成对去屏蔽比例因子、用于描述附近原子对之间溶剂排除空间的短程颈贡献,以及最终基于 tanh 的整体去屏蔽积分的缩放。然后,我们将 AMOEBA/GK 隐式溶剂应用于一组十个蛋白质,并在 500 ns 模拟中实现了实验结构的平均坐标均方根偏差为 2.0 Å。总的来说,隐式溶剂模型的不断发展将有助于在机械相关时间尺度上模拟生物分子。

相似文献

2
Implicit Solvents for the Polarizable Atomic Multipole AMOEBA Force Field.各向异性极化原子多极 AMOEBA 力场的内禀溶剂模型。
J Chem Theory Comput. 2021 Apr 13;17(4):2323-2341. doi: 10.1021/acs.jctc.0c01286. Epub 2021 Mar 26.
4
Generalized Born Implicit Solvent Models for Biomolecules.生物分子的广义 Born 隐溶剂模型。
Annu Rev Biophys. 2019 May 6;48:275-296. doi: 10.1146/annurev-biophys-052118-115325. Epub 2019 Mar 11.

本文引用的文献

3
An overview of the SAMPL8 host-guest binding challenge.SAMPL8 亲合作用结合挑战概述。
J Comput Aided Mol Des. 2022 Oct;36(10):707-734. doi: 10.1007/s10822-022-00462-5. Epub 2022 Oct 14.
4
Polarizable Water Potential Derived from a Model Electron Density.由模型电子密度得出的可极化水势能。
J Chem Theory Comput. 2021 Nov 9;17(11):7056-7084. doi: 10.1021/acs.jctc.1c00628. Epub 2021 Oct 26.
5
How much can physics do for protein design?物理学能在多大程度上助力蛋白质设计?
Curr Opin Struct Biol. 2022 Feb;72:46-54. doi: 10.1016/j.sbi.2021.07.011. Epub 2021 Aug 27.
6
Implicit Solvents for the Polarizable Atomic Multipole AMOEBA Force Field.各向异性极化原子多极 AMOEBA 力场的内禀溶剂模型。
J Chem Theory Comput. 2021 Apr 13;17(4):2323-2341. doi: 10.1021/acs.jctc.0c01286. Epub 2021 Mar 26.
7
DeepBAR: A Fast and Exact Method for Binding Free Energy Computation.DeepBAR:一种快速精确的结合自由能计算方法。
J Phys Chem Lett. 2021 Mar 18;12(10):2509-2515. doi: 10.1021/acs.jpclett.1c00189. Epub 2021 Mar 15.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验