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

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...

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Autores principales: Adeyelu, Tolulope, Bordin, Nicola, Waman, Vaishali P., Sadlej, Marta, Sillitoe, Ian, Moya-Garcia, Aurelio A., Orengo, Christine A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9953599/
https://www.ncbi.nlm.nih.gov/pubmed/36830646
http://dx.doi.org/10.3390/biom13020277
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author Adeyelu, Tolulope
Bordin, Nicola
Waman, Vaishali P.
Sadlej, Marta
Sillitoe, Ian
Moya-Garcia, Aurelio A.
Orengo, Christine A.
author_facet Adeyelu, Tolulope
Bordin, Nicola
Waman, Vaishali P.
Sadlej, Marta
Sillitoe, Ian
Moya-Garcia, Aurelio A.
Orengo, Christine A.
author_sort Adeyelu, Tolulope
collection PubMed
description 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.
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spelling pubmed-99535992023-02-25 KinFams: De-Novo Classification of Protein Kinases Using CATH Functional Units Adeyelu, Tolulope Bordin, Nicola Waman, Vaishali P. Sadlej, Marta Sillitoe, Ian Moya-Garcia, Aurelio A. Orengo, Christine A. Biomolecules Article 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. MDPI 2023-02-02 /pmc/articles/PMC9953599/ /pubmed/36830646 http://dx.doi.org/10.3390/biom13020277 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Adeyelu, Tolulope
Bordin, Nicola
Waman, Vaishali P.
Sadlej, Marta
Sillitoe, Ian
Moya-Garcia, Aurelio A.
Orengo, Christine A.
KinFams: De-Novo Classification of Protein Kinases Using CATH Functional Units
title KinFams: De-Novo Classification of Protein Kinases Using CATH Functional Units
title_full KinFams: De-Novo Classification of Protein Kinases Using CATH Functional Units
title_fullStr KinFams: De-Novo Classification of Protein Kinases Using CATH Functional Units
title_full_unstemmed KinFams: De-Novo Classification of Protein Kinases Using CATH Functional Units
title_short KinFams: De-Novo Classification of Protein Kinases Using CATH Functional Units
title_sort kinfams: de-novo classification of protein kinases using cath functional units
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9953599/
https://www.ncbi.nlm.nih.gov/pubmed/36830646
http://dx.doi.org/10.3390/biom13020277
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