| Literature DB >> 25938373 |
Omar Wagih1, Jüri Reimand1, Gary D Bader1.
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.Entities:
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Year: 2015 PMID: 25938373 DOI: 10.1038/nmeth.3396
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 28.547