alphafold-db
Access over 200M protein structures from AlphaFold DB; use when you need to retrieve predicted 3D structures (PDB/mmCIF), confidence metrics (pLDDT/PAE), or protein metadata by UniProt accession.
Veto GatesRequired pass for any deployment consideration
| Dimension | Result | Detail |
|---|---|---|
| Scientific Integrity | PASS | Scientific content remained anchored to fetched metadata or source-linked evidence in the legacy review. |
| Practice Boundaries | PASS | The package stayed in retrieval, extraction, or evidence-organization scope rather than drifting into unsupported interpretation. |
| Methodological Ground | PASS | The older review treated the package logic as methodologically aligned with its stated workflow. |
| Code Usability | PASS | Code usability passed because the search or lookup workflow still exposed a usable entrypoint and output expectation. |
Core Capability85 / 100 — 8 Categories
Medical TaskExecution Average: 96 / 100 — Assertions: 20/20 Passed
The archived evaluation treated You have a UniProt accession (e.g., P00520) and need to download... as a clean in-scope run.
The archived evaluation treated You want to assess prediction reliability using per-residue pLDDT... as a clean in-scope run.
The archived evaluation treated Fetch AlphaFold DB predicted structures by UniProt accession as a clean in-scope run.
The Download structure files in mmCIF (default) or PDB scenario completed within the documented Access over 200M protein structures from AlphaFold DB boundary.
The archived evaluation treated End-to-end case for Fetch AlphaFold DB predicted structures by... as a clean in-scope run.
Key Strengths
- Primary routing is Evidence Insight with execution mode B
- Static quality score is 85/100 and dynamic average is 83.6/100
- Assertions and command execution outcomes are recorded per input for human review
- Execution verification summary: Script verification 1/1; adjustment=5. fetch_structure.py: OK