Department of Chemistry, Boston University, Boston, Massachusetts 02215, United States.
Division of Chemical Biology and Medicinal Chemistry, College of Pharmacy, The University of Texas at Austin, Austin, Texas 78712, United States.
Biochemistry. 2021 Nov 23;60(46):3515-3528. doi: 10.1021/acs.biochem.1c00494. Epub 2021 Oct 19.
Enzymes are categorized into superfamilies by sequence, structural, and mechanistic similarities. The evolutionary implications can be profound. Until the mid-1990s, the approach was fragmented largely due to limited sequence and structural data. However, in 1996, Babbitt et al. published a paper in that demonstrated the potential power of mechanistically diverse superfamilies to identify common ancestry, predict function, and, in some cases, predict specificity. This Perspective describes the findings of the original work and reviews the current understanding of structure and mechanism in the founding family members. The outcomes of the genomic enzymology approach have reached far beyond the functional assignment of members of the enolase superfamily, inspiring the study of superfamilies and the adoption of sequence similarity networks and genome context and yielding fundamental insights into enzyme evolution.
酶根据序列、结构和机制相似性分为超家族。其进化意义可能非常深远。直到 20 世纪 90 年代中期,由于序列和结构数据有限,该方法一直支离破碎。然而,1996 年,Babbitt 等人在 上发表了一篇论文,展示了机械多样性的超家族在识别共同祖先、预测功能以及在某些情况下预测特异性方面的潜在力量。本观点描述了原始工作的发现,并回顾了当前对创始家族成员结构和机制的理解。基因组酶学方法的结果已经远远超出了烯醇酶超家族成员的功能分配,激发了对超家族的研究以及序列相似性网络和基因组背景的采用,并为酶进化提供了基本的见解。