Estimated Pathogenicity of Kinase Mutants(EPKiMu)

The pathogenicity of more than 42,000 kinase mutants for 248 kinases (collected from the COSMIC) was predicted using PolyPhen-2, SIFT, PredictSNP and FATHMM and a consensus was also derived based on the above four softwares. Each file contains predicted deleterious/cancerous nature for all the mutants along with the consensus derived for all the softwares as indicated by a color (Black - Pathogenic prediction by all 4 softwares; dark grey - deleteriou s by 3 softwares or deleterious by any two softwares and cancerous by FATHMM; light grey- deleterious by any 2 softwares or deleterious by 1 software and cancerous by FATHMM). This data serves as a valuable resource for clinicians to check if a kinase mutant identified in patient's sample is a driver or a passenger and helps in designing an appropriate treatment strategy. In addition, this database may serve as a training/test dataset for bioinformaticians to develop and validate novel computational tools.