琥珀和 CHARMM 中的连续恒定 pH 值分子动力学方法指南[文章 v1.0]。

Jack A Henderson, Ruibin Liu, Julie A Harris, Yandong Huang, Vinicius Martins de Oliveira, Jana Shen
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引用次数: 0

摘要

与温度和压力一样,溶液 pH 值也是生物分子模拟中的一个重要环境变量。几乎所有蛋白质都依赖 pH 值来维持其结构和功能。在传统的蛋白质分子动力学(MD)模拟中,pH 值是通过分配和固定可滴定侧链的质子化状态来隐含计算的。这是一个很大的局限,因为指定的质子状态可能是错误的,而且在动力学过程中可能会发生变化。在本教程中,我们将指导读者学习和使用 Amber 和 CHARMM 软件包中的各种连续恒定 pH MD 方法,这些方法已被用于预测 pK a 值和阐明各种蛋白质(包括酶和膜转运体)的质子耦合构象动力学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Guide to the Continuous Constant pH Molecular Dynamics Methods in Amber and CHARMM [Article v1.0].

A Guide to the Continuous Constant pH Molecular Dynamics Methods in Amber and CHARMM [Article v1.0].

A Guide to the Continuous Constant pH Molecular Dynamics Methods in Amber and CHARMM [Article v1.0].

Like temperature and pressure, solution pH is an important environmental variable in biomolecular simulations. Virtually all proteins depend on pH to maintain their structure and function. In conventional molecular dynamics (MD) simulations of proteins, pH is implicitly accounted for by assigning and fixing protonation states of titratable sidechains. This is a significant limitation, as the assigned protonation states may be wrong and they may change during dynamics. In this tutorial, we guide the reader in learning and using the various continuous constant pH MD methods in Amber and CHARMM packages, which have been applied to predict pK a values and elucidate proton-coupled conformational dynamics of a variety of proteins including enzymes and membrane transporters.

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