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Data sets of human and mouse protein kinase inhibitors with curated activity data including covalent inhibitors

AIM: Generation of high-quality data sets of protein kinase inhibitors (PKIs). METHODOLOGY: Publicly available PKIs with reliable activity data were curated. PKIs with very weak activity were classified as inactive. Analogue series and PKIs containing reactive groups (warheads) enabling covalent inh...

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Autores principales: Xerxa, Elena, Bajorath, Jürgen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Future Science Ltd 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518807/
https://www.ncbi.nlm.nih.gov/pubmed/37752915
http://dx.doi.org/10.2144/fsoa-2023-0088
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author Xerxa, Elena
Bajorath, Jürgen
author_facet Xerxa, Elena
Bajorath, Jürgen
author_sort Xerxa, Elena
collection PubMed
description AIM: Generation of high-quality data sets of protein kinase inhibitors (PKIs). METHODOLOGY: Publicly available PKIs with reliable activity data were curated. PKIs with very weak activity were classified as inactive. Analogue series and PKIs containing reactive groups (warheads) enabling covalent inhibition were systematically identified. EXEMPLARY RESULTS & DATA: A total of 155,579 human and 3057 mouse PKIs were obtained. Human PKIs were active 440 kinases and included 13,949 covalent PKIs. The collection of qualifying PKIs and corresponding inactive compounds is made available as an open access deposition. LIMITATIONS & NEXT STEPS: Potential limitations include activity data incompleteness and assay variance. The data set can be used to investigate PKIs with alternative modes of action and calibrate computational methods.
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spelling pubmed-105188072023-09-26 Data sets of human and mouse protein kinase inhibitors with curated activity data including covalent inhibitors Xerxa, Elena Bajorath, Jürgen Future Sci OA Data Note AIM: Generation of high-quality data sets of protein kinase inhibitors (PKIs). METHODOLOGY: Publicly available PKIs with reliable activity data were curated. PKIs with very weak activity were classified as inactive. Analogue series and PKIs containing reactive groups (warheads) enabling covalent inhibition were systematically identified. EXEMPLARY RESULTS & DATA: A total of 155,579 human and 3057 mouse PKIs were obtained. Human PKIs were active 440 kinases and included 13,949 covalent PKIs. The collection of qualifying PKIs and corresponding inactive compounds is made available as an open access deposition. LIMITATIONS & NEXT STEPS: Potential limitations include activity data incompleteness and assay variance. The data set can be used to investigate PKIs with alternative modes of action and calibrate computational methods. Future Science Ltd 2023-08-16 /pmc/articles/PMC10518807/ /pubmed/37752915 http://dx.doi.org/10.2144/fsoa-2023-0088 Text en © 2023 Jürgen Bajorath, Elena Xerxa https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/)
spellingShingle Data Note
Xerxa, Elena
Bajorath, Jürgen
Data sets of human and mouse protein kinase inhibitors with curated activity data including covalent inhibitors
title Data sets of human and mouse protein kinase inhibitors with curated activity data including covalent inhibitors
title_full Data sets of human and mouse protein kinase inhibitors with curated activity data including covalent inhibitors
title_fullStr Data sets of human and mouse protein kinase inhibitors with curated activity data including covalent inhibitors
title_full_unstemmed Data sets of human and mouse protein kinase inhibitors with curated activity data including covalent inhibitors
title_short Data sets of human and mouse protein kinase inhibitors with curated activity data including covalent inhibitors
title_sort data sets of human and mouse protein kinase inhibitors with curated activity data including covalent inhibitors
topic Data Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518807/
https://www.ncbi.nlm.nih.gov/pubmed/37752915
http://dx.doi.org/10.2144/fsoa-2023-0088
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