brenda-database

Retrieve enzyme kinetic parameters and reaction data from the BRENDA database via SOAP API.

Updated Mar 15, 2026

Search Tags:#database #bioinformatics #metabolism #biochemistry #enzyme #kinetics

Ready to run

npx skills add https://github.com/sagunkayastha/claude_skills_collection --skill brenda-database-sagunkayastha

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: brenda-database
Source: https://github.com/sagunkayastha/claude_skills_collection/tree/main/scientific-databases/brenda-database
Command: npx skills add https://github.com/sagunkayastha/claude_skills_collection --skill brenda-database-sagunkayastha

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires zeep, requests, pandas, matplotlib, seaborn, networkx, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides programmatic access to the BRENDA enzyme database, enabling users to retrieve detailed information about enzymes, including kinetic parameters, reaction equations, and organism-specific data, thereby streamlining biochemical research and enzyme discovery.

Core Features & Use Cases

Enzyme Kinetic Data: Retrieve Km, kcat, and Vmax values for specific enzymes and substrates.
Reaction Information: Access detailed reaction equations, stoichiometry, and associated organisms.
Organism-Specific Data: Compare enzyme properties across different species.
Environmental Parameters: Find optimal pH, temperature, and stability data.
Pathway Construction: Build enzymatic pathways and retrosynthetic routes.
Use Case: A researcher needs to find enzymes that can convert glucose to lactate with high efficiency. They can use this Skill to search BRENDA for relevant enzymes, compare their kinetic parameters, and identify optimal conditions for potential industrial applications.

Quick Start

Use the brenda-database skill to search for enzymes that act on glucose.

Frequently Asked Questions about brenda-database

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I retrieve enzyme kinetic parameters like Km and kcat from the BRENDA database?▼

You can retrieve enzyme kinetic parameters like Km and kcat from the BRENDA database by using this Skill to query the SOAP API, which returns structured data for specific enzymes and substrates. It provides comprehensive kinetic values for biochemical research.

Can I compare enzyme reaction equations and substrate specificities across different organisms?▼

Yes, you can compare enzyme reaction equations and substrate specificities across different organisms. This Skill accesses BRENDA to retrieve organism-specific data, allowing you to compare enzyme properties and environmental parameters like optimal pH and temperature across species.

What Python libraries do I need to access BRENDA enzyme data?▼

To access BRENDA enzyme data, you need the zeep and requests Python libraries for SOAP API interaction, along with pandas, matplotlib, seaborn, and networkx for data manipulation, visualization, and pathway construction. Authentication credentials are also required.

What's the best way to find enzymes for metabolic engineering and pathway construction?▼

The best way to find enzymes for metabolic engineering and pathway construction is to search BRENDA for relevant enzymes using this Skill. It enables you to compare kinetic parameters, identify optimal reaction conditions, and build enzymatic pathways or retrosynthetic routes.

Does this BRENDA database Skill support retrieving environmental stability data for enzymes?▼

Yes, this BRENDA database Skill supports retrieving environmental stability data for enzymes. You can find optimal pH, temperature, and stability data to identify optimal conditions for potential industrial applications and biochemical research.

How do I get organism-specific data for over 45,000 enzymes from BRENDA?▼

You get organism-specific data for over 45,000 enzymes from BRENDA by using this Skill to query the SOAP API with your authentication credentials. It provides structured access to millions of data points detailing reaction equations and organism comparisons.