4.7 Article

Fast Polarizable Water Model for Atomistic Simulations

期刊

JOURNAL OF CHEMICAL THEORY AND COMPUTATION
卷 18, 期 10, 页码 6324-6333

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jctc.2c00378

关键词

-

资金

  1. NIH
  2. [R21 GM131228]
  3. [R01 GM144596]

向作者/读者索取更多资源

The article introduces a globally optimal polarizable water model, OPC3-pol, which accurately simulates water molecules at the atomic scale with minimal computational overheads. The model demonstrates improved computational efficiency and structure stability compared to existing approaches.
Simulating water accurately has been a major challenge in atomistic simulations for decades. Inclusion of electronic polarizability effects holds considerable promise, yet existing approaches suffer from significant computational overheads compared to the widely used nonpolarizable water models. We have developed a globally optimal polarizable water model, OPC3-pol, that explicitly accounts for electronic polarizability with minimal impact on the computational efficiency. OPC3-pol reproduces five key bulk water properties at room temperature with an average relative error of 0.6%. In atomistic simulations, OPC3-pol's computational efficiency is in between that of 3-and 4-point nonpolarizable models; the model supports increased (4 fs) integration time step. OPC3-pol is tested in simulations of globular protein ubiquitin and a B-DNA dodecamer with several AMBER force fields, ff99SB, ff14SB, ff19SB, and OL15, demonstrating structure stability close to reference on multi-microsecond time scale. Simulation of an intrinsically disordered amyloid beta-peptide yields an ensemble with the radius of gyration of a random coil. The proposed water model can be trivially adopted by any package that supports standard nonpolarizable force fields and water models; its intended use is in long classical atomistic simulations where water polarization effects are expected to be important.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据