SABIO-RK in 2027: enzyme kinetics data with modernized framework and enhanced data access.

SABIO-RK’s redesigned infrastructure modernizes enzyme kinetics data access, now holding 76 973 entries from 8149 publications with 10 375 reactions and 2315 EC enzymes as of September 2026.

• Why it matters: Enzyme kinetics data are needed for systems biology modeling, enzymology research, and increasingly for training machine learning and AI-based extractors, but access and scalability lag behind demand.
• What they did: The team unified data input, curation, and public access into a JSON-based framework with full version control, plus a streamlined web interface, interactive Results Explorer, and a secure REST API.
• The result: The API supports JSON, CSV, SBML, and EnzymeML outputs and enables saved, reusable searches, improving reproducibility and programmatic retrieval while enabling future AI-driven curation and search features.

AI summary of the abstract · may contain errors · not medical advice · read the paper.