PpiGReMLIN: a graph mining based detection of conserved structural arrangements in protein-protein interfaces.

ABSTRACT:

Background

Protein-protein interactions (PPIs) are fundamental in many biological processes and understanding these interactions is key for a myriad of applications including drug development, peptide design and identification of drug targets. The biological data deluge demands efficient and scalable methods to characterize and understand protein-protein interfaces. In this paper, we present ppiGReMLIN, a graph based strategy to infer interaction patterns in a set of protein-protein complexes. Our method combines an unsupervised learning strategy with frequent subgraph mining in order to detect conserved structural arrangements (patterns) based on the physicochemical properties of atoms on protein interfaces. To assess the ability of ppiGReMLIN to point out relevant conserved subst

SUBMITTER: Queiroz FC 

PROVIDER: S-EPMC7158050 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature