Journal article

Prediction of kinase-specific phosphorylation sites through an integrative model of protein context and sequence.

Ralph Patrick, Coralie Horin, Bostjan Kobe, Kim-Anh Lê Cao, Mikael Bodén

Biochim Biophys Acta | Elsevier BV | Published : 2016


Identifying kinase substrates and the specific phosphorylation sites they regulate is an important factor in understanding protein function regulation and signalling pathways. Computational prediction of kinase targets - assigning kinases to putative substrates, and selecting from protein sequence the sites that kinases can phosphorylate - requires the consideration of both the cellular context that kinases operate in, as well as their binding affinity. This consideration enables investigation of how phosphorylation influences a range of biological processes. We report here a novel probabilistic model for classifying kinase-specific phosphorylation sites from sequence across three model orga..

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University of Melbourne Researchers