生物
古细菌
蛋白质组学
功能(生物学)
翻译后修饰
计算生物学
蛋白质功能
数据科学
生物化学
计算机科学
进化生物学
基因
酶
作者
E. Keith Keenan,Derek K. Zachman,Matthew D. Hirschey
出处
期刊:Molecular Cell
[Elsevier]
日期:2021-04-02
卷期号:81 (9): 1868-1878
被引量:71
标识
DOI:10.1016/j.molcel.2021.03.015
摘要
Protein modifications modulate nearly every aspect of cell biology in organisms, ranging from Archaea to Eukaryotes. The earliest evidence of covalent protein modifications was found in the early 20th century by studying the amino acid composition of proteins by chemical hydrolysis. These discoveries challenged what defined a canonical amino acid. The advent and rapid adoption of mass-spectrometry-based proteomics in the latter part of the 20th century enabled a veritable explosion in the number of known protein modifications, with more than 500 discrete modifications counted today. Now, new computational tools in data science, machine learning, and artificial intelligence are poised to allow researchers to make significant progress in discovering new protein modifications and determining their function. In this review, we take an opportunity to revisit the historical discovery of key post-translational modifications, quantify the current landscape of covalent protein adducts, and assess the role that new computational tools will play in the future of this field.
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