Food Vector™ brings together curated data on marketed, clinical-stage, and research peptides from validated scientific, clinical, regulatory, and commercial sources.
From sequence to target. From target to indication. From evidence to decision.
Regulator: FDA / EMA / NMPA / PMDA / Health Canada, Clinical trial registry, Peer-reviewed primary publication, IUPHAR / UniProt / HGNC, ChEBI / PubChem / UNII, Company pipeline or press release
Food Vector™ combines the knowledge graph with sequence, structure, molecular properties, and computational analysis to support peptide discovery and design.
Identify relevant peptides from known products, food proteins, public science, and proprietary libraries.
Rank candidates on target relevance, pathway fit, evidence strength, structural plausibility, stability, safety, and developability.
Modify existing sequences or propose new candidates within defined biological and development constraints.
Show what is known, what is predicted, what remains uncertain, and which experiment should come next.
Design with the context of what is known, not from sequence alone.
Use the peptide knowledge graph to understand the landscape, identify evidence gaps, and focus validation on the strongest candidates.
