omarwagih/rmimp: Predicting the impact of mutations on kinase-substrate phosphorylation

MIMP is a machine learning method that predicts 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.

Getting started

Package details

AuthorOmar Wagih
Bioconductor views GenomicRanges
MaintainerOmar Wagih <wagih@ebi.ac.uk>
LicenseLGPL
Version1.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("omarwagih/rmimp")
omarwagih/rmimp documentation built on May 18, 2020, 3:11 p.m.