Learning Sequence Determinants of Protein:protein Interaction Specificity with Sparse Graphical Models.

ABSTRACT: In studying the strength and specificity of interaction between members of two protein families, key questions center on which pairs of possible partners actually interact, how well they interact, and why they interact while others do not. The advent of large-scale experimental studies of interactions between members of a target family and a diverse set of possible interaction partners offers the opportunity to address these questions. We develop here a method, DgSpi (Data-driven Graphical models of Specificity in Protein:protein Interactions), for learning and using graphical models that explicitly represent the amino acid basis for interaction specificity (why) and extend earlier classification-oriented approaches (which) to predict the ΔG of bin

SUBMITTER: Kamisetty H 

PROVIDER: S-EPMC4235964 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature