计算生物学
序列(生物学)
鉴定(生物学)
生物
机制(生物学)
功能(生物学)
相似性(几何)
系统发育树
进化生物学
计算机科学
遗传学
人工智能
基因
认识论
生态学
哲学
图像(数学)
作者
Hayley Knox,Karen N. Allen
标识
DOI:10.1016/j.cbpa.2022.102246
摘要
The use of protein sequence to inform enzymology in terms of structure, mechanism, and function has burgeoned over the past two decades. Referred to as genomic enzymology, the utilization of bioinformatic tools such as sequence similarity networks and phylogenetic analyses has allowed the identification of new substrates and metabolites, novel pathways, and unexpected reaction mechanisms. The holistic examination of superfamilies can yield insight into the origins and paths of evolution of enzymes and the range of their substrates and mechanisms. Herein, we highlight advances in the use of genomic enzymology to address problems which the in-depth analyses of a single enzyme alone could not enable.
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