Coevolutionary Landscape of Kinase Family Proteins: Sequence Probabilities and Functional Motifs.

ABSTRACT: The protein kinase catalytic domain is one of the most abundant domains across all branches of life. Although kinases share a common core function of phosphoryl-transfer, they also have wide functional diversity and play varied roles in cell signaling networks, and for this reason are implicated in a number of human diseases. This functional diversity is primarily achieved through sequence variation, and uncovering the sequence-function relationships for the kinase family is a major challenge. In this study we use a statistical inference technique inspired by statistical physics, which builds a coevolutionary "Potts" Hamiltonian model of sequence variation in a protein family. We show how this model has sufficient power to predict the probability of specific subsequences in the highly dive

SUBMITTER: Haldane A 

PROVIDER: S-EPMC5773752 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature