brenda-database
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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About brenda-database
The brenda-database skill provides seamless access to the BRENDA enzyme database via a SOAP API, enabling users to retrieve a wealth of kinetic parameters, reaction equations, organism data, and substrate-specific enzyme information. This skill addresses the challenges of obtaining detailed and accurate enzyme data, which is crucial for biochemical research, metabolic pathway analysis, and enzyme discovery. With over 45,000 enzymes and millions of kinetic data points available, researchers can conduct thorough investigations into enzyme behavior and characteristics without the need to manually sift through academic literature.
FAQ
How do I retrieve Km values for a specific enzyme?
You can use the `get_km_values` function and provide the enzyme's EC number as an argument to retrieve Km values.
Is this skill compatible with all programming environments?
This skill is designed to work with Python and requires the appropriate libraries to access the SOAP API.
Are there any limitations to the number of enzyme queries I can perform?
While there are no hard limits, excessive querying may lead to rate limiting by the BRENDA API.
Can I filter enzyme data by organism?
Yes, you can filter enzyme queries by specifying the organism when calling the relevant functions.
What kind of data can I extract using this skill?
You can extract kinetic parameters, reaction equations, substrate information, and organism-specific enzyme characteristics.
Install brenda-database
Quick Setup:
- Copy the skill folder to
.claude/skills/ - Claude will automatically detect and use the skill
Repository
K-Dense-AI/claude-scientific-skills