Agent skill

bio-structural-biology-alphafold-predictions

Access and analyze AlphaFold protein structure predictions. Use when predicted structures are needed for proteins without experimental structures, or for confidence scores (pLDDT).

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-codeships scripts
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-structural-biology-alphafold-predictions --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 8 KB
Bundled scripts: yes
Path: skills/bio-structural-biology-alphafold-predictions/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Version Compatibility Reference examples tested with: BioPython 1.83+, matplotlib 3.8+, numpy 1.26+, scanpy 1.10+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # AlphaFold Predictions **"Get the AlphaFold predicted structure for my protein"** → Download pre-computed AlphaFold structures by UniProt ID and assess prediction quality via per-residue pLDDT confidence scores. - Python: `requests.get(f'https://alphafold.ebi.ac.uk/files/AF-{uniprot}-F1-model_v4.pdb')` Download and analyze AlphaFold predicted protein structures from the AlphaFold Protein Structure Database. ## Download Structures **Goal:** Retrieve pre-computed AlphaFold protein structure predictions and assess prediction quality via pLDDT confidence scores. **Approach:** Query the AlphaFold Protein Structure Database API by UniProt accession to download PDB/CIF files, then extract per-residue pLDDT scores from B-factor columns to identify high-confide

What's inside
Steps it walks through
  1. Version Compatibility
  2. Download Structures
  3. Single Structure by UniProt ID
  4. Check Availability
  5. Get Metadata
  6. File Types Available
  7. Analyze pLDDT Confidence Scores
  8. Extract from PDB B-factors
  9. Confidence Interpretation
  10. Plot pLDDT per Residue
  11. Analyze PAE (Predicted Aligned Error)
  12. PAE Interpretation
  13. Batch Download
  14. Compare with Experimental Structure
Ships with 2 files
  • examples/download_alphafold.py
  • usage-guide.md
More from OpenClaw-Medical-Skills
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About this skill
What does the bio-structural-biology-alphafold-predictions skill do?

Access and analyze AlphaFold protein structure predictions. Use when predicted structures are needed for proteins without experimental structures, or for confidence scores (pLDDT).

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-structural-biology-alphafold-predictions --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going