Alphappimi: a comprehensive deep learning framework for predicting PPI-modulator interactions.

ABSTRACT: Protein-protein interactions (PPIs) regulate essential biological processes through complex interfaces, with their dysfunction is associated with various diseases. Consequently, the identification of PPIs and their interface-targeting modulators has emerged as a critical therapeutic approach. However, discovering modulators that target PPIs and PPI interfaces remains challenging as traditional structure-similarity-based methods fail to effectively characterize PPI targets, particularly those for which no active compounds are known. Here, we present AlphaPPIMI, a comprehensive deep learning framework that combines large-scale pretrained language models with domain adaptation for predicting PPI-modulator interactions, specifically targeting PPI interface. To enable robust model development a

SUBMITTER: Liu D 

PROVIDER: S-EPMC12395666 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature