Proteome-wide <i>in silico</i> screening for human protein-protein interactions.

ABSTRACT: Protein-protein interactions (PPIs) drive virtually all biological processes, yet most PPIs have not been identified and even more remain structurally unresolved. We developed a two-step computational screen for human PPIs. First, a classifier called KIRC (Knowledge-Informed Rapid Classifier), trained on biological features, was used to rank all 200 million possible protein pairs in the human proteome by their interaction likelihood. Second, the ~1.6 million top-ranked KIRC pairs were subjected to structure prediction by AlphaFold-Multimer and ranked using SPOC (Structure Prediction and Omics Classifier), which identifies functional predictions based on biological and structural features. This pipeline revealed 16,000 high-confidence PPIs (~90% precision), of which more than 5,000 were not

SUBMITTER: Schmid EW 

PROVIDER: S-EPMC12642653 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature