BIPSPI: a method for the prediction of partner-specific protein-protein interfaces.

ABSTRACT:

Motivation

Protein-Protein Interactions (PPI) are essentials for most cellular processes and thus, unveiling how proteins interact is a crucial question that can be better understood by identifying which residues are responsible for the interaction. Computational approaches are orders of magnitude cheaper and faster than experimental ones, leading to proliferation of multiple methods aimed to predict which residues belong to the interface of an interaction.

Results

We present BIPSPI, a new machine learning-based method for the prediction of partner-specific PPI sites. Contrary to most binding site prediction methods, the proposed approach takes into account a pair of interacting proteins rather than a single one in order to predict partner-specific binding sites. BIPSPI has

SUBMITTER: Sanchez-Garcia R 

PROVIDER: S-EPMC6361243 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature