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Nat Methods. 2015 Jun;12(6):531-3. doi: 10.1038/nmeth.3396. Epub 2015 May 4.

MIMP: predicting the impact of mutations on kinase-substrate phosphorylation.

Author information

1
The Donnelly Centre, University of Toronto, Toronto, Canada.

Abstract

Protein phosphorylation is important in cellular pathways and altered in disease. We developed MIMP (http://mimp.baderlab.org/), a machine learning method to predict the impact of missense single-nucleotide variants (SNVs) on kinase-substrate interactions. MIMP analyzes kinase sequence specificities and predicts whether SNVs disrupt existing phosphorylation sites or create new sites. This helps discover mutations that modify protein function by altering kinase networks and provides insight into disease biology and therapy development.

PMID:
25938373
DOI:
10.1038/nmeth.3396
[Indexed for MEDLINE]

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