Discover what your identified compounds do, across KEGG, PubChem, ChEMBL and Reactome — all from one interface.
Submit a list of identified compounds and receive aggregated target annotations within seconds. No manual database hopping.
Annotations from KEGG, PubChem, ChEMBL, and Reactome are merged into a single, sortable table — filter by database, target class, or pathway.
Download comprehensive summary reports with citations, confidence scores, and direct links to each source database entry.
Kyoto Encyclopedia of Genes and Genomes. Map compounds to metabolic pathways, enzymatic reactions, and disease associations using KEGG compound and pathway identifiers.
The world's largest repository of chemical information. Retrieve bioassay data, pharmacological properties, literature links, and substance annotations for each compound.
Curated bioactive molecules with drug-like properties. Access binding affinities, functional assays, ADMET data, and target relationships extracted from medicinal chemistry literature.
Open-source pathway database. Trace your compounds through reaction networks, signaling cascades, and metabolic pathways to understand their biological role in context.
Upload your MS/MS data and let VeroMass identify compounds at MSI Level 1a confidence using the three-gate verification protocol against 40,000+ authenticated standards.
Select the databases you want to query — KEGG, PubChem, ChEMBL, Reactome — and run target fishing. Results return in seconds with direct source links.
Browse unified results, filter by target class or pathway, and export comprehensive reports. Use the findings to guide hypothesis generation and experimental design.
Identify mechanism of action for hit compounds. Cross-reference against ChEMBL binding assays and KEGG disease pathways to prioritise candidates with favourable target profiles and known safety data.
Screen complex natural product extracts for known bioactivity. Link unidentified features to literature-reported bioassays in PubChem and ChEMBL, accelerating the discovery of novel leads from biodiversity.
Map identified metabolites onto Reactome and KEGG pathways to reveal impacted biological networks. Discover pathway-level enrichment and connect metabolomic changes to their physiological consequences.