An Anisotropic Coarse-Grained Model for Proteins Based On Gay-Berne and Electric Multipole Potentials.
An Anisotropic Coarse-Grained Model for Proteins Based On Gay-Berne and Electric Multipole Potentials.
复制标题
基于 Gay-Berne 和电多极势的蛋白质各向异性粗粒模型
DOI:
10.1021/ct400974z
复制
发表时间:
2014-02-10
影响因子:
5.5
通讯作者:
Li G
中科院分区:
文献类型:
--
作者:
Shen H;Li Y;Ren P;Zhang D;Li G
Gay–Berne anisotropic potential has been widely used to evaluate the nonbonded interactions between coarse-grained particles being described as elliptical rigid bodies. In this paper, we are presenting a coarse-grained model for twenty kinds of amino acids and proteins, based on the anisotropic Gay–Berne and point electric multipole (EMP) potentials. We demonstrate that the anisotropic coarse-grained model, namely GBEMP model, is able to reproduce many key features observed from experimental protein structures (Dunbrack Library), as well as from atomistic force field simulations (using AMOEBA, AMBER, and CHARMM force fields), while saving the computational cost by a factor of about 10–200 depending on specific cases and atomistic models. More importantly, unlike other coarse-grained approaches, our framework is based on the fundamental intermolecular forces with explicit treatment of electrostatic and repulsion-dispersion forces. As a result, the coarse-grained protein model presented an accurate description of nonbonded interactions (particularly electrostatic component) between hetero/homodimers (such as peptide–peptide, peptide–water). In addition, the encouraging performance of the model was reflected by the excellent correlation between GBEMP and AMOEBA models in the calculations of the dipole moment of peptides. In brief, the GBEMP model given here is general and transferable, suitable for simulating complex biomolecular systems.
登录
查看更多内容
影响因子:
6.8
作者:
Buchete, NV;Straub, JE;Thirumalai, D
通讯作者:
Thirumalai, D
影响因子:
5.5
作者:
Han, Wei;Wan, Cheuk-Kin;Wu, Yun-Dong
通讯作者:
Wu, Yun-Dong
影响因子:
3.4
作者:
Dehouck, Y;Gilis, D;Rooman, M
通讯作者:
Rooman, M
影响因子:
4.4
作者:
BERNE, BJ;PECHUKAS, P
通讯作者:
PECHUKAS, P
影响因子:
3
作者:
Duan, Y;Wu, C;Kollman, P
通讯作者:
Kollman, P