Suppr超能文献

基于序列和结构的真核蛋白激酶特异性决定因素分析。

Sequence and Structure-Based Analysis of Specificity Determinants in Eukaryotic Protein Kinases.

机构信息

European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge CB10 1SD, UK.

European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge CB10 1SD, UK; European Molecular Biology Laboratory (EMBL), Genome Biology Unit, 69117 Heidelberg, Germany.

出版信息

Cell Rep. 2021 Jan 12;34(2):108602. doi: 10.1016/j.celrep.2020.108602.

Abstract

Protein kinases lie at the heart of cell-signaling processes and are often mutated in disease. Kinase target recognition at the active site is in part determined by a few amino acids around the phosphoacceptor residue. However, relatively little is known about how most preferences are encoded in the kinase sequence or how these preferences evolved. Here, we used alignment-based approaches to predict 30 specificity-determining residues (SDRs) for 16 preferences. These were studied with structural models and were validated by activity assays of mutant kinases. Cancer mutation data revealed that kinase SDRs are mutated more frequently than catalytic residues. We have observed that, throughout evolution, kinase specificity has been strongly conserved across orthologs but can diverge after gene duplication, as illustrated by the G protein-coupled receptor kinase family. The identified SDRs can be used to predict kinase specificity from sequence and aid in the interpretation of evolutionary or disease-related genomic variants.

摘要

蛋白激酶位于细胞信号转导过程的核心,并且在疾病中经常发生突变。激酶在活性位点对靶标的识别在一定程度上由磷酸受体残基周围的少数氨基酸决定。然而,关于大多数偏好如何在激酶序列中编码以及这些偏好如何进化的信息相对较少。在这里,我们使用基于比对的方法预测了 16 种偏好的 30 个特异性决定残基 (SDR)。这些残基通过结构模型进行了研究,并通过突变激酶的活性测定进行了验证。癌症突变数据表明,激酶 SDR 的突变频率高于催化残基。我们观察到,在整个进化过程中,激酶的特异性在直系同源物中得到了强烈的保守,但在基因复制后可以发生分歧,G 蛋白偶联受体激酶家族就是一个例证。所鉴定的 SDR 可用于从序列预测激酶特异性,并有助于解释进化或疾病相关的基因组变异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/feb8/7809594/7993d25e1b6d/fx1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验