Chong Lillian T, Saglam Ali S, Zuckerman Daniel M
Department of Chemistry, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Department of Chemistry, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Curr Opin Struct Biol. 2017 Apr;43:88-94. doi: 10.1016/j.sbi.2016.11.019. Epub 2016 Dec 13.
Despite more than three decades of effort with molecular dynamics simulations, long-timescale (ms and beyond) biologically relevant phenomena remain out of reach in most systems of interest. This is largely because important transitions, such as conformational changes and (un)binding events, tend to be rare for conventional simulations (<10μs). That is, conventional simulations will predominantly dwell in metastable states instead of making large transitions in complex biomolecular energy landscapes. In contrast, path sampling approaches focus computing effort specifically on transitions of interest. Such approaches have been in use for nearly 20 years in biomolecular systems and enabled the generation of pathways and calculation of rate constants for ms processes, including large protein conformational changes, protein folding, and protein (un)binding.
尽管分子动力学模拟已经经过了三十多年的努力,但在大多数感兴趣的系统中,长时间尺度(毫秒及以上)的生物学相关现象仍然难以实现。这主要是因为重要的转变,如构象变化和(解)结合事件,在传统模拟(<10微秒)中往往很少发生。也就是说,传统模拟将主要停留在亚稳态,而不是在复杂的生物分子能量景观中进行大的转变。相比之下,路径采样方法将计算精力专门集中在感兴趣的转变上。这种方法在生物分子系统中已经使用了近20年,并能够生成路径并计算毫秒过程的速率常数,包括大的蛋白质构象变化、蛋白质折叠和蛋白质(解)结合。