A Transformer-Based Ensemble Framework for the Prediction of Protein-Protein Interaction Sites.

ABSTRACT: The identification of protein-protein interaction (PPI) sites is essential in the research of protein function and the discovery of new drugs. So far, a variety of computational tools based on machine learning have been developed to accelerate the identification of PPI sites. However, existing methods suffer from the low predictive accuracy or the limited scope of application. Specifically, some methods learned only global or local sequential features, leading to low predictive accuracy, while others achieved improved performance by extracting residue interactions from structures but were limited in their application scope for the serious dependence on precise structure information. There is an urgent need to develop a method that integrates comprehensive information to realize proteome-wi

SUBMITTER: Mou M 

PROVIDER: S-EPMC10528219 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature