Department of Biochemistry, University of Washington, Seattle, WA 98105, USA.
Institute for Protein Design, University of Washington, Seattle, WA 98105, USA.
Science. 2019 Jul 12;365(6449):185-189. doi: 10.1126/science.aaw6718. Epub 2019 Jul 11.
Residue-residue coevolution has been observed across a number of protein-protein interfaces, but the extent of residue coevolution between protein families on the whole-proteome scale has not been systematically studied. We investigate coevolution between 5.4 million pairs of proteins in and between 3.9 millions pairs in We find strong coevolution for binary complexes involved in metabolism and weaker coevolution for larger complexes playing roles in genetic information processing. We take advantage of this coevolution, in combination with structure modeling, to predict protein-protein interactions (PPIs) with an accuracy that benchmark studies suggest is considerably higher than that of proteome-wide two-hybrid and mass spectrometry screens. We identify hundreds of previously uncharacterized PPIs in and that both add components to known protein complexes and networks and establish the existence of new ones.
残基-残基共进化在许多蛋白质-蛋白质界面中都有观察到,但在整个蛋白质组范围内蛋白质家族之间的残基共进化的程度尚未得到系统研究。我们研究了 和 中 540 万对蛋白质之间以及 390 万对蛋白质之间的共进化。我们发现,参与代谢的二元复合物之间存在强烈的共进化,而在遗传信息处理中起更大作用的较大复合物之间的共进化则较弱。我们利用这种共进化,结合结构建模,以高于基于蛋白质组的双杂交和质谱筛选的基准研究表明的准确性来预测蛋白质-蛋白质相互作用 (PPI)。我们在 和 中鉴定了数百个以前未表征的 PPI,它们既为已知蛋白质复合物和网络添加了成分,又建立了新的复合物和网络。