Department of Basic Medical Sciences, College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, CA 91766, USA.
Sorbonne Universités, UPMC Université Paris 06, CNRS, Biologie Computationnelle et Quantitative - Institut de Biologie Paris Seine, 75005 Paris, France.
Curr Opin Struct Biol. 2018 Jun;50:26-32. doi: 10.1016/j.sbi.2017.10.014. Epub 2017 Nov 5.
Interacting proteins coevolve at multiple but interconnected scales, from the residue-residue over the protein-protein up to the family-family level. The recent accumulation of enormous amounts of sequence data allows for the development of novel, data-driven computational approaches. Notably, these approaches can bridge scales within a single statistical framework. Although being currently applied mostly to isolated problems on single scales, their immense potential for an evolutionary informed, structural systems biology is steadily emerging.
相互作用的蛋白质在多个但相互关联的尺度上共同进化，从残基-残基到蛋白质-蛋白质再到家族-家族水平。最近大量序列数据的积累为开发新的、数据驱动的计算方法提供了可能。值得注意的是，这些方法可以在单个统计框架内跨越多个尺度。虽然这些方法目前主要应用于单个尺度上的孤立问题，但它们在进化信息丰富的结构系统生物学方面的巨大潜力正在逐渐显现。
