A predicted structural interactome reveals binding interference from intrinsically disordered regions.

ABSTRACT: Proteins function through dynamic interactions with other proteins in cells, forming complex networks fundamental to cellular processes. While high-resolution and high-throughput methods have significantly advanced our understanding of how proteins interact with each other, the molecular details of many important protein-protein interactions are still poorly characterized, especially in non-mammalian species, including Drosophila. Recent advancements in deep learning techniques have enabled the prediction of molecular details in various cellular pathways at the network level. In this study, we used AlphaFold2 multimer to examine and predict protein-protein interactions from both physical and functional datasets in Drosophila. We found that functional associations contribute s

SUBMITTER: Peng J 

PROVIDER: S-EPMC12393378 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature