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KinFams:使用 CATH 功能单元对蛋白激酶进行从头分类

KinFams: De-Novo Classification of Protein Kinases Using CATH Functional Units.

机构信息

Institute of Structural and Molecular Biology, University College London, London WC1E 6BT, UK.

Department of Comparative Biomedical Science, Louisiana State University, Baton Rouge, LA 70803, USA.

出版信息

Biomolecules. 2023 Feb 2;13(2):277. doi: 10.3390/biom13020277.

Abstract

Protein kinases are important targets for treating human disorders, and they are the second most targeted families after G-protein coupled receptors. Several resources provide classification of kinases into evolutionary families (based on sequence homology); however, very few systematically classify functional families (FunFams) comprising evolutionary relatives that share similar functional properties. We have developed the FunFam-MARC (Multidomain ARchitecture-based Clustering) protocol, which uses multi-domain architectures of protein kinases and specificity-determining residues for functional family classification. FunFam-MARC predicts 2210 kinase functional families (KinFams), which have increased functional coherence, in terms of EC annotations, compared to the widely used KinBase classification. Our protocol provides a comprehensive classification for kinase sequences from >10,000 organisms. We associate human KinFams with diseases and drugs and identify 28 druggable human KinFams, i.e., enriched in clinically approved drugs. Since relatives in the same druggable KinFam tend to be structurally conserved, including the drug-binding site, these KinFams may be valuable for shortlisting therapeutic targets. Information on the human KinFams and associated 3D structures from AlphaFold2 are provided via our CATH FTP website and Zenodo. This gives the domain structure representative of each KinFam together with information on any drug compounds available. For 32% of the KinFams, we provide information on highly conserved residue sites that may be associated with specificity.

摘要

蛋白激酶是治疗人类疾病的重要靶点,它们是继 G 蛋白偶联受体之后的第二大靶向家族。有几个资源提供了将激酶分类为进化家族(基于序列同源性)的方法;然而,很少有系统地将功能家族(FunFams)分类,这些家族由具有相似功能特性的进化相关成员组成。我们开发了 FunFam-MARC(基于多结构域的聚类)方案,该方案使用蛋白激酶的多结构域结构和决定特异性的残基来进行功能家族分类。FunFam-MARC 预测了 2210 个激酶功能家族(KinFams),与广泛使用的 KinBase 分类相比,这些家族在 EC 注释方面具有更高的功能一致性。我们的方案为来自>10000 个生物体的激酶序列提供了全面的分类。我们将人类 KinFams 与疾病和药物相关联,并确定了 28 个可成药的人类 KinFams,即富含临床批准药物。由于同一可成药 KinFam 中的相关成员往往在结构上保守,包括药物结合位点,因此这些 KinFams 可能对候选治疗靶点的筛选很有价值。有关人类 KinFams 的信息以及来自 AlphaFold2 的相关 3D 结构可通过我们的 CATH FTP 网站和 Zenodo 获得。这提供了每个 KinFam 的代表性结构域结构以及可用的任何药物化合物的信息。对于 32%的 KinFams,我们提供了有关可能与特异性相关的高度保守残基位点的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eee8/9953599/dc8fc86d464e/biomolecules-13-00277-g001.jpg

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