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粗粒度蛋白质模型及其应用。

Coarse-Grained Protein Models and Their Applications.

机构信息

Faculty of Chemistry, University of Warsaw , Pasteura 1, 02-093 Warsaw, Poland.

Bioinformatics Laboratory, Mossakowski Medical Research Center of the Polish Academy of Sciences , Pawinskiego 5, 02-106 Warsaw, Poland.

出版信息

Chem Rev. 2016 Jul 27;116(14):7898-936. doi: 10.1021/acs.chemrev.6b00163. Epub 2016 Jun 22.

Abstract

The traditional computational modeling of protein structure, dynamics, and interactions remains difficult for many protein systems. It is mostly due to the size of protein conformational spaces and required simulation time scales that are still too large to be studied in atomistic detail. Lowering the level of protein representation from all-atom to coarse-grained opens up new possibilities for studying protein systems. In this review we provide an overview of coarse-grained models focusing on their design, including choices of representation, models of energy functions, sampling of conformational space, and applications in the modeling of protein structure, dynamics, and interactions. A more detailed description is given for applications of coarse-grained models suitable for efficient combinations with all-atom simulations in multiscale modeling strategies.

摘要

传统的蛋白质结构、动力学和相互作用的计算建模对于许多蛋白质系统仍然具有挑战性。这主要是由于蛋白质构象空间的大小和所需的模拟时间尺度仍然太大,无法进行原子细节的研究。将蛋白质的表示从全原子降低到粗粒度为研究蛋白质系统开辟了新的可能性。在这篇综述中,我们提供了粗粒度模型的概述,重点介绍了它们的设计,包括表示的选择、能量函数模型、构象空间的采样以及在蛋白质结构、动力学和相互作用建模中的应用。对于适合与多尺度建模策略中的全原子模拟进行高效组合的粗粒度模型的应用,我们给出了更详细的描述。

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