brenda-database
Analyze BRENDA enzyme data
Enzyme research often requires structured access to kinetic and organism-specific data. This skill helps Claude, Codex, and Claude Code query BRENDA records and turn them into usable biochemical analysis.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "brenda-database" from https://skillstore.io/skills/k-dense-ai-brenda-database.md and its manifest at https://skillstore.io/api/skills/k-dense-ai-brenda-database/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "brenda-database". Get Km values for alcohol dehydrogenase in yeast.
Expected outcome:
A concise table-style summary of substrates, Km values, organisms, units, references, and notes about incomplete records.
Using "brenda-database". Compare EC 1.1.1.1 across three organisms.
Expected outcome:
- Organism-by-organism kinetic comparison
- Most common substrates and cofactors
- Data gaps that need manual verification
Using "brenda-database". Create a pathway report for lactate production.
Expected outcome:
A readable pathway feasibility summary with enzyme candidates, reaction steps, condition constraints, and follow-up experiments.
Security Audit
SafeThe audit found extensive static-analysis noise from Markdown formatting, EC numbers misread as IP addresses, and legitimate BRENDA credential setup. The only confirmed issue is that helper export functions write to caller-provided filenames, which can overwrite local files if used carelessly.
Capability review items (3)
These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.
Risk Factors
⚡ Contains scripts (8)
⚙️ External commands (50)
🌐 Network access (50)
🔑 Env variables (1)
📁 Filesystem access (3)
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<iframe src="https://skillstore.io/embed/skills/k-dense-ai-brenda-database.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
K-Dense-AI. (2026). brenda-database security audit report (audit version 8) [Author version unspecified]. Skillstore. https://skillstore.io/skills/k-dense-ai-brenda-database/audits/8BibTeX citation
@techreport{k-dense-ai-k-dense-ai-brenda-database-2026,
author = {K-Dense-AI},
title = {brenda-database security audit report (audit version 8)},
institution = {Skillstore},
year = {2026},
number = {8},
url = {https://skillstore.io/skills/k-dense-ai-brenda-database/audits/8},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "brenda-database security audit report (audit version 8)"
version: "unspecified"
type: report
authors:
- name: "K-Dense-AI"
date-released: "2026-07-09"
url: "https://skillstore.io/skills/k-dense-ai-brenda-database/audits/8"
identifiers:
- type: other
value: "skillstore:k-dense-ai-brenda-database:audit:8"
description: "Skillstore immutable audit report identifier"
Compare variants
2 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
k-dense-ai-brenda-database
2026-08-21
davila7-brenda-database
2026-08-21
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Compare enzyme kinetics for a research project
Retrieve Km and kcat values for an EC number across organisms, substrates, and literature records.
Evaluate enzyme candidates for pathway design
Find enzymes, cofactors, inhibitors, activators, and environmental constraints for a target biochemical route.
Prepare teaching examples from curated enzyme data
Generate clear summaries and visualizations for enzyme classes, reactions, and kinetic behavior.
Try These Prompts
Use the BRENDA database skill to summarize Km and kcat data for EC 1.1.1.1. Include organisms, substrates, units, and important caveats.
Compare alcohol dehydrogenase kinetic data across Saccharomyces cerevisiae, Escherichia coli, and Homo sapiens. Highlight substrate differences and missing data.
Find pH, temperature, cofactor, inhibitor, and activator information for EC 1.1.1.1. Recommend conditions for a preliminary in vitro screen.
Use BRENDA data to outline an enzymatic pathway to lactate with up to three steps. Include candidate enzymes, organisms, cofactors, and feasibility risks.
Best Practices
- Use precise EC numbers and organism names to reduce ambiguous BRENDA matches.
- Store BRENDA credentials outside shared repositories and rotate them if exposed.
- Validate retrieved kinetic values against primary literature before using them in models.
Avoid
- Do not treat BRENDA output as experimental proof without expert review.
- Do not commit .env files or exported credential material to version control.
- Do not write exports into sensitive directories or overwrite existing research files.
Frequently Asked Questions
Does this skill require BRENDA credentials?
Can it work without internet access?
Can it analyze any enzyme?
Does it create visualizations?
Can it export results?
Is the output ready for clinical or production decisions?
Developer Details
Author
K-Dense-AILicense
Unknown
Skillstore revision
r1
Version notice
The author did not declare a version.
Repository
https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/brenda-databaseRef
3e4b6c31a74a3bd1a291c98cf585d720cb9fbc88
Maintenance freshness
7/18/2026
Usage
13 downloads · 244 views
File structure