Activity-based annotation: the emergence of systems biochemistry

被引:11
作者
Rhee, Kyu Y. [1 ]
Jansen, Robert S. [2 ]
Grundner, Christoph [3 ,4 ,5 ]
机构
[1] Weill Cornell Med Coll, Dept Med, New York, NY 10065 USA
[2] Radboud Univ Nijmegen, Dept Microbiol, Nijmegen, Netherlands
[3] Seattle Childrens Res Inst, Ctr Global Infect Dis Res, Seattle, WA 98101 USA
[4] Univ Washington, Dept Global Hlth, Seattle, WA 98195 USA
[5] Univ Washington, Dept Pediat, Seattle, WA 98195 USA
基金
美国国家卫生研究院; 荷兰研究理事会;
关键词
NUCLEOTIDE-BINDING; ENZYME; IDENTIFICATION; DISCOVERY; PREDICTION; PROTEINS; METABOLOMICS; ELUCIDATION; HYDROLASES;
D O I
10.1016/j.tibs.2022.03.017
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Current tools to annotate protein function have failed to keep pace with the speed of DNA sequencing and exponentially growing number of proteins of un-known function (PUFs). A major contributing factor to this mismatch is the histor-ical lack of high-throughput methods to experimentally determine biochemical activity. Activity-based methods, such as activity-based metabolite and protein profiling, are emerging as new approaches for unbiased, global, biochemical an-notation of protein function. In this review, we highlight recent experimental, activity-based approaches that offer new opportunities to determine protein function in a biologically agnostic and systems-level manner.
引用
收藏
页码:785 / 794
页数:10
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