Retrieve and parse enzyme kinetic data from the BRENDA SOAP API.
npx skills add https://github.com/swaruplab/operon --skill brenda-database-swaruplab
Please help me install this Agent Skill. Skill: brenda-database Source: https://github.com/swaruplab/operon/tree/main/src-tauri/protocols/brenda-database Command: npx skills add https://github.com/swaruplab/operon --skill brenda-database-swaruplab
Access to comprehensive enzyme data is often scattered across sources; this Skill centralizes retrieval of kinetic parameters (Km, kcat), reaction equations, substrate specificities, and organism-specific enzyme data from the BRENDA SOAP API, enabling researchers to quickly assemble comparative insights.
Query Km values for EC 1.1.1.1 across organisms and generate a comparative report.
High-intent search queries and answers about installing and using this skill.
To retrieve Km and kcat values across organisms, query the BRENDA SOAP API using a specific EC number. The Skill parses the kinetic parameters, applies organism-specific filtering, and exports the structured data for comparative analysis.
Yes, you can extract reaction equations and substrate specificity data from BRENDA. The Skill retrieves and parses substrate, inhibitor, and cofactor information, providing structured outputs suitable for metabolic pathway analysis.
The best way to compare enzyme kinetic parameters for cross-organism studies is to centralize BRENDA API retrieval. This Skill aggregates Km, kcat, and environmental parameters, handling rate-limiting and parsing to generate comparative reports.
Yes, you need Python with pandas, zeep, and requests installed to query the BRENDA SOAP API. These dependencies handle the SOAP client communication, data parsing, and tabular export required for downstream kinetic modeling.
You get organism-specific enzyme information for metabolic engineering by querying BRENDA with an EC number. The Skill extracts organism-specific properties and exports the data, enabling you to identify suitable enzymes and design retrosynthetic routes.
Limitations when querying large enzyme kinetic datasets from BRENDA include API rate limits and parsing complexities. The Skill mitigates these by implementing built-in rate-limiting and error handling to ensure stable data extraction.
jiaxiaojunQAQRetrieve enzyme kinetic data from the BRENDA SOAP API.
JosephWoodallQuery the BRENDA SOAP API for enzyme kinetic parameters and export results to CSV/JSON.
LeonChaoXQuery the BRENDA enzyme database via SOAP API for kinetic parameters and reaction equations.
hxk622Retrieve enzyme kinetic parameters and reaction data from the BRENDA database via SOAP API.
