Provides comprehensive access to the BRENDA enzyme database for retrieving kinetic parameters, reaction stoichiometry, and organism-specific biochemical data.
This skill enables Claude to interact with the world's most extensive enzyme information system, BRENDA, via its SOAP API. It allows users to programmatically retrieve critical biochemical data such as Michaelis-Menten constants (Km), turnover numbers (kcat), reaction equations, and optimal environmental conditions. It is particularly valuable for metabolic pathway reconstruction, enzyme engineering, and kinetic modeling, providing researchers with the tools to compare enzyme properties across different organisms and identify optimal targets for biotechnological applications.
主要功能
019 GitHub stars
02Access detailed reaction stoichiometry and substrate-specific information
03Identify enzyme inhibitors, activators, and cofactor requirements
04Retrieve kinetic parameters like Km, kcat, and Vmax for over 45,000 enzymes
05Query optimal pH, temperature, and environmental stability data
06Search for enzymes by substrate, product, or reaction pattern
使用场景
01Collecting standardized kinetic data for biochemical modeling and simulations
02Metabolic pathway reconstruction and retrosynthetic route planning
03In silico enzyme engineering and identifying heat-stable homologs
