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在超分子水平的粗粒水中溶解原子级细粒度蛋白质,用于分子动力学模拟。

Solvating atomic level fine-grained proteins in supra-molecular level coarse-grained water for molecular dynamics simulations.

机构信息

Laboratory of Physical Chemistry, ETH Zurich, 8093 Zurich, Switzerland.

出版信息

Eur Biophys J. 2012 Aug;41(8):647-61. doi: 10.1007/s00249-012-0837-1. Epub 2012 Jul 14.

DOI:10.1007/s00249-012-0837-1
PMID:22797564
Abstract

Simulation of the dynamics of a protein in aqueous solution using an atomic model for both the protein and the many water molecules is still computationally extremely demanding considering the time scale of protein motions. The use of supra-atomic or supra-molecular coarse-grained (CG) models may enhance the computational efficiency, but inevitably at the cost of reduced accuracy. Coarse-graining solvent degrees of freedom is likely to yield a favourable balance between reduced accuracy and enhanced computational speed. Here, the use of a supra-molecular coarse-grained water model that largely preserves the thermodynamic and dielectric properties of atomic level fine-grained (FG) water in molecular dynamics simulations of an atomic model for four proteins is investigated. The results of using an FG, a CG, an implicit, or a vacuum solvent environment of the four proteins are compared, and for hen egg-white lysozyme a comparison to NMR data is made. The mixed-grained simulations do not show large differences compared to the FG atomic level simulations, apart from an increased tendency to form hydrogen bonds between long side chains, which is due to the reduced ability of the supra-molecular CG beads that represent five FG water molecules to make solvent-protein hydrogen bonds. But, the mixed-grained simulations are at least an order of magnitude faster than the atomic level ones.

摘要

使用蛋白质和大量水分子的原子模型来模拟水溶液中蛋白质的动力学仍然具有很高的计算要求,这主要是考虑到蛋白质运动的时间尺度。使用超原子或超分子粗粒化 (CG) 模型可以提高计算效率,但不可避免地会降低准确性。对溶剂自由度进行粗粒化处理可能会在降低准确性和提高计算速度之间取得有利的平衡。在这里,研究了在四个蛋白质的原子模型的分子动力学模拟中使用超分子 CG 水模型来模拟原子水平细粒化 (FG) 水的热力学和介电性质,该模型在很大程度上保留了原子水平 FG 水的热力学和介电性质。比较了使用 FG、CG、隐式或真空溶剂环境的四个蛋白质的结果,并与 NMR 数据进行了 hen 卵清溶菌酶的比较。混合粒度模拟与 FG 原子水平模拟相比,除了形成长侧链之间氢键的趋势增加外,没有太大差异,这是由于代表五个 FG 水分子的超分子 CG 珠粒减少了形成溶剂-蛋白质氢键的能力。但是,混合粒度模拟的速度至少比原子水平模拟快一个数量级。

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