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brenda-database

8.7

by davila7

169Favorites
257Upvotes
0Downvotes

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.

enzyme-database

8.7

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0

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Data & Analytics

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Quick Review

Excellent skill for accessing BRENDA enzyme database. The description is comprehensive and clear, enabling CLI agents to easily invoke various enzyme data queries. Task knowledge is outstanding with detailed code examples, parsing utilities, and six complete workflows covering enzyme discovery, cross-organism comparison, engineering, pathway construction, kinetic analysis, and industrial selection. The structure is well-organized with logical sections, clear hierarchy, and proper delegation to referenced scripts (brenda_queries.py, brenda_visualization.py, enzyme_pathway_builder.py). Novelty is strong: accessing BRENDA's SOAP API with proper authentication, parsing complex response formats, and performing multi-dimensional enzyme analysis would require significant tokens and expertise for a CLI agent alone. Minor improvement opportunity: could be slightly more concise in some sections. Overall, this is a highly valuable skill for biochemical research that meaningfully reduces complexity and token costs.

LLM Signals

Description coverage10
Task knowledge10
Structure9
Novelty8

GitHub Signals

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Last commit 0 days ago

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davila7

davila7

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