ModelSEED Biochemistry Database

The reference biochemistry database for genome-scale metabolic modeling

The ModelSEED Biochemistry Database is the reference set of compounds and reactions — with structures, thermodynamics, and mass/charge balancing — used to reconstruct, compare, and analyze genome-scale metabolic models across plants, fungi, and microbes. I lead its curation, including large-scale structure and formula curation across the ~9,000 reactions and ~6,500 compounds that underpin the ModelSEEDTemplates and PlantSEED.

  • Role: first author of the database paper (Nucleic Acids Research, 2021); ongoing curation lead.
  • Highlights: mass-balance exclusion mechanism for R-group compounds; stereochemistry-preservation safeguards; integration with a PubChem validation pipeline.
  • Links: GitHub · see the publications page.

References