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SnapKin: a snapshot deep learning ensemble for kinase-substrate prediction from phosphoproteomics data
[article]
2021
bioRxiv
pre-print
Mass spectrometry (MS)-based phosphoproteomics enables the quantification of proteome-wide phosphorylation in cells and tissues. A major challenge in MS-based phosphoproteomics lies in identifying the substrates of kinases, as currently only a small fraction of substrates identified can be confidently linked with a known kinase. By leveraging large-scale phosphoproteomics data, machine learning has become an increasingly popular approach for computationally predicting substrates of kinases.
doi:10.1101/2021.02.23.432610
fatcat:pgc6bcyxbbghpavbwfdpxk64j4