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全原子连续恒定pH分子动力学的力场局限性

Force Field Limitations of All-Atom Continuous Constant pH Molecular Dynamics.

作者信息

Peeples Craig A, Liu Ruibin, Shen Jana

机构信息

Department of Pharmaceutical Sciences, University of Maryland School of Pharmacy, Baltimore, MD 21201.

出版信息

bioRxiv. 2024 Oct 26:2024.09.03.611076. doi: 10.1101/2024.09.03.611076.

Abstract

All-atom constant pH molecular dynamics simulations offer a powerful tool for understanding pH-mediated and proton-coupled biological processes. As the protonation equilibria of protein sidechains are shifted by electrostatic interactions and desolvation energies, p values calculated from the constant pH simulations may be sensitive to the underlying protein force field and water model. Here we investigated the force field dependence of the all-atom particle mesh Ewald (PME) continuous constant pH (PME-CpHMD) simulations of a mini-protein BBL. The replica-exchange titration simulations based on the Amber ff19sb and ff14sb force fields with the respective water models showed significantly overestimated p downshifts for a buried histidine (His166) and for two glutamic acids (Glu141 and Glu161) that are involved in salt-bridge interactions. These errors (due to undersolvation of neutral histidines and overstabilization of salt bridges) are consistent with the previously reported p 's based on the CHARMM c22/CMAP force field, albeit in larger magnitudes. The p calculations also demonstrated that ff19sb with OPC water is significantly more accurate than ff14sb with TIP3P water, and the salt-bridge related p downshifts can be partially alleviated by the atom-pair specific Lennard-Jones corrections (NBFIX). Together, these data suggest that the accuracies of the protonation equilibria of proteins from constant pH simulations can significantly benefit from improvements of force fields.

摘要

全原子恒定pH分子动力学模拟为理解pH介导和质子耦合的生物过程提供了一个强大的工具。由于蛋白质侧链的质子化平衡会因静电相互作用和去溶剂化能而发生变化,从恒定pH模拟计算得到的p值可能对基础蛋白质力场和水模型敏感。在这里,我们研究了微型蛋白质BBL的全原子粒子网格埃瓦尔德(PME)连续恒定pH(PME-CpHMD)模拟中力场的依赖性。基于Amber ff19sb和ff14sb力场以及各自水模型的副本交换滴定模拟显示,对于参与盐桥相互作用的一个埋藏组氨酸(His166)和两个谷氨酸(Glu141和Glu161),p值的下降被显著高估。这些误差(由于中性组氨酸的溶剂化不足和盐桥的过度稳定)与之前基于CHARMM c22/CMAP力场报道的p值一致,尽管幅度更大。p值计算还表明,使用OPC水的ff19sb比使用TIP3P水的ff14sb显著更准确,并且与盐桥相关的p值下降可以通过原子对特定的 Lennard-Jones校正(NBFIX)部分缓解。总之,这些数据表明,恒定pH模拟中蛋白质质子化平衡的准确性可以从力场的改进中显著受益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f9e2/11515159/0d1e68877697/nihpp-2024.09.03.611076v2-f0001.jpg

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