ArticleFuture science OA2023
Data sets of human and mouse protein kinase inhibitors with curated activity data including covalent inhibitors.
Article in Future science OA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed, 5 citations in OpenAlex.
- Decoding the allosteric grammar of protein kinases: A dual-stream framework integrating protein language models and energy landscape frustration analysis.Protein science : a publication of the Protein Society · 2026Article
- From Latent Manifolds to Targeted Molecular Probes: An Interpretable, Kinome-Scale Generative Machine Learning Framework for Family-Based Kinase Ligand Design.Biomolecules · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.