Poverennaya E V, Kiseleva O I, Ivanov A S, Ponomarenko E A
Institute of Biomedical Chemistry, Moscow, 119121, Russia.
Biochemistry (Mosc). 2020 Jan;85(1):68-79. doi: 10.1134/S000629792001006X.
Human genome contains ca. 20,000 protein-coding genes that could be translated into millions of unique protein species (proteoforms). Proteoforms coded by a single gene often have different functions, which implies different protein partners. By interacting with each other, proteoforms create a network reflecting the dynamics of cellular processes in an organism. Perturbations of protein-protein interactions change the network topology, which often triggers pathological processes. Studying proteoforms is a relatively new research area in proteomics, and this is why there are comparatively few experimental studies on the interaction of proteoforms. Bioinformatics tools can facilitate such studies by providing valuable complementary information to the experimental data and, in particular, expanding the possibilities of the studies of proteoform interactions.
人类基因组包含约2万个蛋白质编码基因,这些基因可被翻译成数百万种独特的蛋白质种类(蛋白质异构体)。由单个基因编码的蛋白质异构体通常具有不同的功能,这意味着它们有不同的蛋白质伙伴。通过相互作用,蛋白质异构体形成一个反映生物体细胞过程动态的网络。蛋白质-蛋白质相互作用的扰动会改变网络拓扑结构,这通常会引发病理过程。研究蛋白质异构体是蛋白质组学中一个相对较新的研究领域,这就是为什么关于蛋白质异构体相互作用的实验研究相对较少。生物信息学工具可以通过为实验数据提供有价值的补充信息来促进此类研究,特别是扩大蛋白质异构体相互作用研究的可能性。