ReDrugs is a probabilistic knowledge graph for drug repositioning that integrates drug-target, protein-protein, and disease-gene interactions from multiple databases. The system uses evidence-weighted nanopublications to assign confidence scores to interactions based on experimental methods and manual curation. ReDrugs was designed to identify novel drug candidates for diseases, particularly melanoma, by filtering and analyzing systems biology networks with probabilistic methods. The platform included both a web interface and API for exploring molecular interaction networks. The hosted web interface, API, and data archive (formerly at redrugs.tw.rpi.edu and data.rpi.edu) are no longer accessible; the source code remains available on GitHub.
Graph at a glance
Node and edge counts are not reported in the registry for this graph.
Products & downloads
No graph distributions listed.
No node-type (Biolink category) breakdown is recorded for this graph.
No edge-type (predicate) breakdown is recorded for this graph.