Kinase Substrate Prediction Resources

This page hosts the kinase substrate prediction results from using positive unlabelled ensemble learning models with various of phosphoproteomics data sources generated by our and other groups. Please follow this link for details on downloading and using the prediction tool for your own datasets.

Study ID Organism Cell type Features Kinase 1 Kinase 2
PMID: 23684622 mouse 3T3-L1 adipocytes time course + inhibitors + motif Akt mTOR
PMID: 26437602 rat L6 myotubes inhibitors + motif AMPK
PMID: 21406692 human human embryonic stem cells (hESCs) time-course (2 sets) + motif Erk1/2

References

Yang, P.#, Humphrey, S., James, D., Yang, J. & Jothi, R.# (2016). Positive-unlabeled ensemble learning for kinase substrate prediction from dynamic phosphoproteomics data. Bioinformatics, 32(2), 252-259.
Pubmed

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