Zhang Zhiyong, Lu Lanyuan, Noid Will G, Krishna Vinod, Pfaendtner Jim, Voth Gregory A
Department of Chemistry, Center for Biophysical Modeling and Simulation, University of Utah, Salt Lake City, Utah, USA.
Biophys J. 2008 Dec;95(11):5073-83. doi: 10.1529/biophysj.108.139626. Epub 2008 Aug 29.
Coarse-grained (CG) models of biomolecules have recently attracted considerable interest because they enable the simulation of complex biological systems on length-scales and timescales that are inaccessible for atomistic molecular dynamics simulation. A CG model is defined by a map that transforms an atomically detailed configuration into a CG configuration. For CG models of relatively small biomolecules or in cases that the CG and all-atom models have similar resolution, the construction of this map is relatively straightforward and can be guided by chemical intuition. However, it is more challenging to construct a CG map when large and complex domains of biomolecules have to be represented by relatively few CG sites. This work introduces a new and systematic methodology called essential dynamics coarse-graining (ED-CG). This approach constructs a CG map of the primary sequence at a chosen resolution for an arbitrarily complex biomolecule. In particular, the resulting ED-CG method variationally determines the CG sites that reflect the essential dynamics characterized by principal component analysis of an atomistic molecular dynamics trajectory. Numerical calculations illustrate this approach for the HIV-1 CA protein dimer and ATP-bound G-actin. Importantly, since the CG sites are constructed from the primary sequence of the biomolecule, the resulting ED-CG model may be better suited to appropriately explore protein conformational space than those from other CG methods at the same degree of resolution.
生物分子的粗粒度(CG)模型最近引起了相当大的关注,因为它们能够在原子分子动力学模拟无法达到的长度尺度和时间尺度上模拟复杂的生物系统。CG模型由一个映射定义,该映射将原子级详细构型转换为CG构型。对于相对较小的生物分子的CG模型,或者在CG模型和全原子模型具有相似分辨率的情况下,构建此映射相对简单,并且可以由化学直觉引导。然而,当生物分子的大而复杂的结构域必须由相对较少的CG位点表示时,构建CG映射更具挑战性。这项工作引入了一种新的系统方法,称为本质动力学粗粒化(ED-CG)。这种方法以选定的分辨率为任意复杂的生物分子构建一级序列的CG映射。特别是,由此产生的ED-CG方法通过变分确定反映由原子分子动力学轨迹的主成分分析所表征的本质动力学的CG位点。数值计算说明了针对HIV-1 CA蛋白二聚体和ATP结合的G-肌动蛋白的这种方法。重要的是,由于CG位点是由生物分子的一级序列构建的,因此在相同分辨率下,由此产生的ED-CG模型可能比其他CG方法的模型更适合于适当地探索蛋白质构象空间。