#acl All:read

=ActiveDriver=

ActiveDriver is a statistical method for interpreting variations in protein sequence (e.g. coding SNPs in the population, SNVs in cancer genomes) in the context of protein post-translational signaling modifications (phosphorylation sites, kinase domains, active sites, etc.). 

The method is based on a logistic regression strategy and identifies signaling sites in proteins that involve unexpectedly many (or few) sequence variants considering the general variability of the protein, disordered and ordered regions, density of sigalling-related residues (such as phosphosites), and distance of variants with respect to mutations. 

We provide an implementation of the method as an R package. Further details of the method, as well as a case study of cancer mutations phosphorylation signaling is available in the following publication:

Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers (submitted) Jüri Reimand and Gary Bader.