Learning the protein language of proteome-wide protein-protein binding sites via explainable ensemble deep learning.

ABSTRACT: Protein-protein interactions (PPIs) govern cellular pathways and processes, by significantly influencing the functional expression of proteins. Therefore, accurate identification of protein-protein interaction binding sites has become a key step in the functional analysis of proteins. However, since most computational methods are designed based on biological features, there are no available protein language models to directly encode amino acid sequences into distributed vector representations to model their characteristics for protein-protein binding events. Moreover, the number of experimentally detected protein interaction sites is much smaller than that of protein-protein interactions or protein sites in protein complexes, resulting in unbalanced data sets that leave room for improvemen

SUBMITTER: Hou Z 

PROVIDER: S-EPMC9849350 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature