We compare the in vitro specificity profiles of several kinase inhibitors with their effects on cellular phosphoproteomes. For this aim, we developed an algorithm which utilizes information on kinase inhibitor selectivity to determine the most probable kinase(s) acting upstream of phosphorylation sites present in phosphoproteomics data obtained from cancer cells treated with kinase inhibitors.
[doi:10.25345/C57940Z96]
[dataset license: CC0 1.0 Universal (CC0 1.0)]
Keywords: Phosphoproteomics ; Kinase signaling networks ; Cancer ; Kinase inhibitors ; Bioinformatics
Principal Investigators: (in alphabetical order) |
Pedro Cutillas, Barts Cancer Institute. Queen Mary University of London, N/A |
Submitting User: | ccms |
Hijazi M, Smith R, Rajeeve V, Bessant C, Cutillas PR.
Reconstructing kinase network topologies from phosphoproteomics data reveals cancer-associated rewiring.
Nat Biotechnol. 2020 Apr;38(4):493-502. Epub 2020 Jan 20.
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