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alphafold-database

8.7

by davila7

141Favorites
302Upvotes
0Downvotes

Access AlphaFold's 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.

bioinformatics

8.7

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0

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Data & Analytics

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Quick Review

Exceptional skill documentation providing comprehensive coverage of AlphaFold DB access. The description clearly articulates all major capabilities (retrieval by UniProt ID, file downloads, confidence metric analysis). Task knowledge is thorough with complete working code examples for all use cases—from basic retrieval via Biopython to bulk Google Cloud downloads and confidence metric interpretation. Structure is excellent with clear sections, though slightly dense in the main file (could delegate some advanced examples to separate files). Novelty is strong: while a CLI agent could theoretically query APIs, this skill consolidates domain expertise (pLDDT/PAE interpretation thresholds, file format knowledge, BigQuery proteome queries) and multi-tool workflows (Biopython + REST + GCP) that would require substantial tokens and bioinformatics knowledge to replicate. The skill meaningfully reduces complexity for structural biology workflows. Minor improvement: could be more modular by moving some batch processing examples to separate tutorial files.

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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