brenda-database

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Access BRENDA enzyme database via SOAP API. Retrieve kinetic parameters (Km, kcat), reaction equations, organism data, and substrate-specific enzyme information for biochemical research and metabolic pathway analysis.

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Skill Content

# BRENDA Database ## Overview BRENDA (BRaunschweig ENzyme DAtabase) is the world's most comprehensive enzyme information system, containing detailed enzyme data from scientific literature. Query kinetic parameters (Km, kcat), reaction equations, substrate specificities, organism information, and optimal conditions for enzymes using the official SOAP API. Access over 45,000 enzymes with millions of kinetic data points for biochemical research, metabolic engineering, and enzyme discovery. ## When to Use This Skill This skill should be used when: - Searching for enzyme kinetic parameters (Km, kcat, Vmax) - Retrieving reaction equations and stoichiometry - Finding enzymes for specific substrates or reactions - Comparing enzyme properties across different organisms - Investigating optimal pH, temperature, and conditions - Accessing enzyme inhibition and activation data - Supporting metabolic pathway reconstruction and retrosynthesis - Performing enzyme engineering and optimization studies - Analyzing substrate specificity and cofactor requirements ## Core Capabilities ### 1. Kinetic Parameter Retrieval Access comprehensive kinetic data for enzymes: **Get Km Values by EC Number**: ```python from brenda_client import get_km_values # Get Km values for all organisms km_data = get_km_values("1.1.1.1") # Alcohol dehydrogenase # Get Km values for specific organism km_data = get_km_values("1.1.1.1", organism="Saccharomyces cerevisiae") # Get Km values for specific substrate km...

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Author
davila7
Repository
davila7/claude-code-templates
Created
11 months ago
Last Updated
today
Language
Python
License
MIT

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