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Health & Bioinformatics Testing Stage

Nutrilase

Launch / External Link

AI-powered clinical nutrigenetics and pharmacogenetics decision support panel mapping 12,091 genes, 8,405 enzymes, 8,860 nutrients/metabolites, and 7,986 active drug substances.

Technologies: Python Genomics Engine VCF Parser PGx DB Gemini AI RAG SQLite

Nutrilase

Nutrilase is an AI-powered clinical decision support software designed for physicians, clinical nutritionists, and dietitians to analyze genetic variation data (VCF files) in seconds.

Database & Biochemical Scope

  • 12,091 Genes & 8,405 Enzyme Classes: Full coverage of human enzymatic protein-coding genes and international EC enzyme classifications.
  • 8,860 Nutrients & Metabolites: Enzyme cofactors (accelerators), nutrient inhibitors (decelerators), and metabolic pathway mappings.
  • 7,986 Pharmacogenetic (PGx) Active Substances: FDA NDC database integration mapping drug-gene interactions and CYP enzyme activity profiles.
  • Visual Biological Graph: Interactive Gen βž” SNP βž” Enzyme βž” Metabolite connection mapping (MTHFR, COMT, CYP variants).
  • 100% Local Processing & Privacy: Patient VCF genetic data is analyzed completely offline on local machines.