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基于分子中原子电子密度划分的极化蛋白质特异性电荷

Polarized Protein-Specific Charges from Atoms-in-Molecule Electron Density Partitioning.

作者信息

Lee Louis P, Cole Daniel J, Skylaris Chris-Kriton, Jorgensen William L, Payne Mike C

机构信息

TCM Group, Cavendish Laboratory , 19 JJ Thomson Ave, Cambridge CB3 0HE, United Kingdom.

出版信息

J Chem Theory Comput. 2013 Jul 9;9(7):2981-2991. doi: 10.1021/ct400279d. Epub 2013 Jun 11.

Abstract

Atomic partial charges for use in traditional force fields for biomolecular simulation are often fit to the electrostatic potentials of small molecules and, hence, neglect large-scale electronic polarization. On the other hand, recent advances in atoms-in-molecule charge derivation schemes show promise for use in flexible force fields but are limited in size by the underlying quantum mechanical calculation of the electron density. Here, we implement the density derived electrostatic and chemical charges method in the linear-scaling density functional theory code ONETEP. Our implementation allows the straightforward derivation of partial atomic charges for systems comprising thousands of atoms, including entire proteins. We demonstrate that the derived charges are chemically intuitive, reproduce electrostatic potentials of proteins and are transferable between closely related systems. Simulated NMR data derived from molecular dynamics of three proteins using force fields based on the ONETEP charges are in good agreement with experiment.

摘要

用于生物分子模拟的传统力场中的原子部分电荷通常拟合小分子的静电势,因此忽略了大规模的电子极化。另一方面,分子中原子电荷推导方案的最新进展显示出在灵活力场中应用的前景,但受电子密度的基础量子力学计算限制,其应用规模有限。在此,我们在线性标度密度泛函理论代码ONETEP中实现了密度导出静电和化学电荷方法。我们的实现允许直接推导包含数千个原子的系统(包括完整蛋白质)的部分原子电荷。我们证明所推导的电荷具有化学直观性,能重现蛋白质的静电势,并且可在密切相关的系统之间转移。使用基于ONETEP电荷的力场对三种蛋白质进行分子动力学模拟得到的NMR数据与实验结果吻合良好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/760a/3719162/f26c7340e1bd/ct-2013-00279d_0002.jpg

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