Sethi Anurag, Clarke Declan, Chen Jieming, Kumar Sushant, Galeev Timur R, Regan Lynne, Gerstein Mark
Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, United States; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, United States.
Department of Chemistry, Yale University, New Haven, CT, United States.
Curr Opin Struct Biol. 2015 Dec;35:125-34. doi: 10.1016/j.sbi.2015.11.003. Epub 2015 Dec 1.
Structure has traditionally been interrelated with sequence, usually in the framework of comparing sequences across species sharing a common fold. However, the nature of information within the sequence and structure databases is evolving, changing the type of comparisons possible. In particular, we now have a vast amount of personal genome sequences from human populations and a greater fraction of new structures contain interacting proteins within large complexes. Consequently, we have to recast our conception of sequence conservation and its relation to structure-for example, focusing more on selection within the human population. Moreover, within structural biology there is less emphasis on the discovery of novel folds and more on relating structures to networks of protein interactions. We cover this changing mindset here.
传统上,结构与序列相互关联,通常是在比较具有共同折叠的不同物种序列的框架内。然而,序列和结构数据库中的信息性质正在演变,这改变了可能进行的比较类型。特别是,我们现在有大量来自人类群体的个人基因组序列,并且更大比例的新结构包含大型复合物中的相互作用蛋白质。因此,我们必须重塑我们对序列保守性及其与结构关系的概念,例如,更多地关注人类群体中的选择。此外,在结构生物学领域,对发现新折叠的重视程度降低,而更多地关注将结构与蛋白质相互作用网络联系起来。我们在此探讨这种不断变化的思维方式。