Journal
FUTURE SCIENCE OA
Volume 9, Issue 9, Pages -Publisher
FUTURE SCI LTD
DOI: 10.2144/fsoa-2023-0088
Keywords
activity data; analogue series; covalent inhibition; inhibitors; large-scale data analysis; protein kinases
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The aim of this study was to generate high-quality data sets of protein kinase inhibitors (PKIs). Publicly available PKIs with reliable activity data were curated, and weakly active PKIs were classified as inactive. Analogue series and PKIs containing reactive groups enabling covalent inhibition were systematically identified. The study obtained a total of 155,579 human and 3057 mouse PKIs, with human PKIs showing activity against 440 kinases and including 13,949 covalent PKIs. The collection of qualifying PKIs and corresponding inactive compounds is made available as an open access deposition.
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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