Relational subgraphs fused with complete subgraphs based on the knowledge graph for mining protein complexes.

ABSTRACT: The potential discovery of protein complexes can elucidate the structure of protein-protein interaction networks and identify downstream regulatory genes. Given the complexity of protein-protein interactions, interpretable domain knowledge discovery has gained significant attention. In this study, we constructed a knowledge graph for interacting proteins by gathering data from UniProt and PlaPPISite databases related to the model plant Arabidopsis thaliana. We developed a relational subgraph-driven protein-protein interaction prediction model based on this knowledge graph to predict interactions within connected subgraphs. Subsequently, complete subgraphs of interacting proteins were extracted, enabling the potential discovery of protein complex structures. The knowledge graph consisted of

SUBMITTER: Zhao R 

PROVIDER: S-EPMC12572110 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature