The complete picture lives in five databases — most teams check two
Without five separate searches, five logins, five export files to reconcile. One query returns papers, preprints, patents, clinical trials, and bioactive compounds — synthesized in context, not dumped as raw exports.
“Give me the complete landscape for EGFR inhibition in lung cancer — literature, active trials, known actives, and IP.”
How it works
Name the target or topic
Type a gene, disease, mechanism, or compound. The platform fans out across five sources simultaneously — Pinecone semantic search for papers and patents, live APIs for bioRxiv, ChEMBL, and ClinicalTrials.gov.
Results synthesized, not listed
Your AI reads the results in context and synthesizes — key findings, contradictions, gaps, active IP. Not five separate export files to reconcile.
Seed compounds identified
ChEMBL hits with known activity against your target surface as starting scaffolds for lead optimization — with IC50/EC50 data and assay metadata.
Proof
Pinecone semantic search with text-embedding-3-large (3072 dimensions). 14,398 curated drug discovery papers. 2,416 USPTO pharmaceutical patents.
Live API queries to bioRxiv/medRxiv (250K+ preprints), ChEMBL (2.4M bioactive compounds), and ClinicalTrials.gov (500K+ trials).
Five tools: search_literature, search_biorxiv, search_chembl, search_patents, search_clinical_trials.
The complete landscape, one query
Five databases. One search. Sign up and see the full picture.