Do I need an account to use this skill?

Yes, access to the BRENDA SOAP API requires a registered account. You must sign up for free at the BRENDA website and provide your email and password as environment variables.

What is the BRENDA Database skill?

It is a specialized Claude Code skill that provides programmatic access to the BRaunschweig ENzyme DAtabase (BRENDA), allowing users to query kinetic data, reaction mechanisms, and organism-specific enzyme properties directly through Claude.

What kind of data visualizations are supported?

The skill includes scripts to generate Michaelis-Menten plots, pH and temperature activity profiles, and comparative heatmaps of enzyme parameters across different organisms.

Can this skill help with enzyme engineering?

Absolutely. It includes capabilities to find thermophilic homologs, alkaline/acid-stable variants, and compare substrate affinities, which are essential for selecting and optimizing enzyme targets.

BRENDA Enzyme Database

Name: BRENDA Enzyme Database
Author: K-Dense-AI

byK-Dense-AI

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2,188

Data Science & ML

Accesses the world's most comprehensive enzyme database to retrieve kinetic parameters, reaction equations, and biochemical property data.

About

The BRENDA Enzyme Database skill integrates the world's leading enzyme information system directly into Claude, facilitating advanced biochemical research and metabolic modeling. Users can query the official BRENDA SOAP API to access millions of data points, including kinetic parameters like Km and kcat, reaction stoichiometry, and organism-specific optimal conditions. Designed for researchers, bioinformaticians, and metabolic engineers, this skill streamlines data collection for enzyme engineering, retrosynthesis studies, and pathway reconstruction, making complex biochemical data accessible and actionable within a coding workflow.

Key Features

Extracts detailed reaction equations and substrate-product stoichiometry
Discovers enzymes based on specific substrates, products, or reaction patterns
Retrieves kinetic parameters (Km, kcat) and Vmax values for specific EC numbers and organisms
2,188 GitHub stars
Analyzes environmental stability including optimal pH, temperature, and cofactor requirements
Supports metabolic pathway reconstruction and enzyme engineering through high-level Python scripts

Use Cases

Enzyme discovery and comparative analysis across different species for industrial biocatalysis
Data collection and visualization for kinetic modeling and biochemical research papers
Metabolic pathway reconstruction and retrosynthesis for synthetic biology projects

About

Key Features

Extracts detailed reaction equations and substrate-product stoichiometry
Discovers enzymes based on specific substrates, products, or reaction patterns
Retrieves kinetic parameters (Km, kcat) and Vmax values for specific EC numbers and organisms
2,188 GitHub stars
Analyzes environmental stability including optimal pH, temperature, and cofactor requirements
Supports metabolic pathway reconstruction and enzyme engineering through high-level Python scripts

Use Cases

Enzyme discovery and comparative analysis across different species for industrial biocatalysis
Data collection and visualization for kinetic modeling and biochemical research papers
Metabolic pathway reconstruction and retrosynthesis for synthetic biology projects