编码
背景(考古学)
计算生物学
功能(生物学)
生物
基因组
计算机科学
进化生物学
遗传学
基因
古生物学
作者
Jessica J. Mohsen,Alina A. Martel,Sarah A. Slavoff
出处
期刊:Proteomics
[Wiley]
日期:2023-08-21
卷期号:23 (23-24)
被引量:17
标识
DOI:10.1002/pmic.202100211
摘要
Advances in proteogenomic technologies have revealed hundreds to thousands of translated small open reading frames (sORFs) that encode microproteins in genomes across evolutionary space. While many microproteins have now been shown to play critical roles in biology and human disease, a majority of recently identified microproteins have little or no experimental evidence regarding their functionality. Computational tools have some limitations for analysis of short, poorly conserved microprotein sequences, so additional approaches are needed to determine the role of each member of this recently discovered polypeptide class. A currently underexplored avenue in the study of microproteins is structure prediction and determination, which delivers a depth of functional information. In this review, we provide a brief overview of microprotein discovery methods, then examine examples of microprotein structures (and, conversely, intrinsic disorder) that have been experimentally determined using crystallography, cryo-electron microscopy, and NMR, which provide insight into their molecular functions and mechanisms. Additionally, we discuss examples of predicted microprotein structures that have provided insight or context regarding their function. Analysis of microprotein structure at the angstrom level, and confirmation of predicted structures, therefore, has potential to identify translated microproteins that are of biological importance and to provide molecular mechanism for their in vivo roles.
科研通智能强力驱动
Strongly Powered by AbleSci AI