BRENDA (Braunschweig Enzyme Database) is the world's most comprehensive enzyme information system, containing data manually curated from scientific literature.

What kind of kinetic parameters can I retrieve?

You can retrieve Michaelis constants (Km), turnover numbers (kcat), maximal velocities (Vmax), and specificity constants (kcat/Km).

Do I need an account to use this skill?

Yes, you must register for an account at the BRENDA website and configure your credentials using BRENDA_EMAIL and BRENDA_PASSWORD environment variables.

Can I filter enzyme data by specific organisms?

Yes, the skill allows you to query parameters for specific organisms (e.g., E. coli, S. cerevisiae) or compare properties across different species.

Does this skill support visualization?

Yes, it includes helper scripts to generate Michaelis-Menten plots, pH profiles, and temperature activity distributions using matplotlib and seaborn.

BRENDA Enzyme Database Connector

Name: BRENDA Enzyme Database Connector
Author: BbgnsurfTech

byBbgnsurfTech

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Ciencia de Datos y ML

Accesses the comprehensive BRENDA enzyme database to retrieve kinetic parameters, reaction equations, and biochemical data for metabolic research.

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The BRENDA Database skill provides Claude with direct access to the world's most comprehensive enzyme information system, facilitating advanced biochemical research and metabolic engineering. It enables the programmatic retrieval of kinetic data (Km, kcat), reaction stoichiometry, substrate specificities, and optimal environmental conditions across more than 45,000 enzymes. This skill is particularly useful for researchers and bioengineers performing pathway reconstruction, enzyme discovery, or systems biology modeling where high-quality, literature-curated data is essential.

Características Principales

Retrieval of kinetic parameters like Km, kcat, and Vmax by EC number or organism
3 GitHub stars
Comprehensive reaction stoichiometry and equation analysis for metabolic modeling
Enzyme discovery tools to search by substrate, product, or specific reaction patterns
Comparison of enzyme properties and environmental optima (pH, temp) across species
Access to regulatory information including inhibitors, activators, and cofactor requirements

Casos de Uso

Metabolic pathway reconstruction and retrosynthesis for synthetic biology
Automated data collection for building kinetic models and systems biology simulations
Enzyme engineering and optimization of industrial biocatalytic processes

Acerca de

Características Principales

Retrieval of kinetic parameters like Km, kcat, and Vmax by EC number or organism
3 GitHub stars
Comprehensive reaction stoichiometry and equation analysis for metabolic modeling
Enzyme discovery tools to search by substrate, product, or specific reaction patterns
Comparison of enzyme properties and environmental optima (pH, temp) across species
Access to regulatory information including inhibitors, activators, and cofactor requirements

Casos de Uso

Metabolic pathway reconstruction and retrosynthesis for synthetic biology
Automated data collection for building kinetic models and systems biology simulations
Enzyme engineering and optimization of industrial biocatalytic processes