Pair-EGRET: enhancing the prediction of protein-protein interaction sites through graph attention networks and protein language models.

ABSTRACT:

Motivation

Proteins are responsible for most biological functions, many of which require the interaction of more than one protein molecule. However, accurately predicting protein-protein interaction (PPI) sites (the interfacial residues of a protein that interact with other protein molecules) remains a challenge. The growing demand and cost associated with the reliable identification of PPI sites using conventional experimental methods call for computational tools for automated prediction and understanding of PPIs.

Results

We present Pair-EGRET, an edge-aggregated graph attention network that leverages the features extracted from pretrained transformer-like models to accurately predict PPI sites. Pair-EGRET works on a k-nearest neighbor graph, representing the 3D structure o

SUBMITTER: Alam R 

PROVIDER: S-EPMC11495673 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature