Agent skill · Design & Presentation

bio-immunoinformatics-mhc-binding-prediction

Predict peptide-MHC class I and II binding affinity using MHCflurry and NetMHCpan neural network models. Identify potential T-cell epitopes from protein sequences. Use when predicting MHC binding for vaccine design or neoantigen identification.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-codeships scripts
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-immunoinformatics-mhc-binding-prediction --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-immunoinformatics-mhc-binding-prediction/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: MHCflurry 2.1+, pandas 2.2+ Before using code patterns, verify installed versions match. If versions differ: - Python: `pip show <package>` then `help(module.function)` to check signatures - CLI: `<tool> --version` then `<tool> --help` to confirm flags If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # MHC Binding Prediction **"Predict which peptides bind to MHC"** → Predict peptide-MHC class I and II binding affinity using neural network models to identify potential T-cell epitopes from protein sequences. - Python: `mhcflurry.Class1PresentationPredictor().predict()` for MHC-I - CLI: `netMHCpan` for alternative MHC-I/II predictions ## MHCflurry Setup **Goal:** Install MHCflurry and download pre-trained prediction models. **Approach:** Install via pip and fetch model weights for class I pan-allele or specific allele predictions. ```bash # Install MHCflurry pip install mhcflurry # Download prediction models mhcflurry-downloads fetch # Download models for specific alleles mhcflurry-downloads fetch models_class1_pan ``` #

What's inside
Steps it walks through
  1. Version Compatibility
  2. MHCflurry Setup
  3. MHCflurry Python API
  4. Interpret Binding Predictions
  5. Batch Prediction
  6. Scan Protein Sequence
  7. MHC Class II Prediction
  8. Common HLA Alleles
  9. Related Skills
Ships with 2 files
  • examples/mhc_binding.py
  • usage-guide.md
Commands it runs
Install MHCflurry
pip install mhcflurry
Download prediction models
mhcflurry-downloads fetch
Download models for specific alleles
mhcflurry-downloads fetch models_class1_pan
More from OpenClaw-Medical-Skills
All skills →
About this skill
What does the bio-immunoinformatics-mhc-binding-prediction skill do?

Predict peptide-MHC class I and II binding affinity using MHCflurry and NetMHCpan neural network models. Identify potential T-cell epitopes from protein sequences. Use when predicting MHC binding for vaccine design or neoantigen identification.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-immunoinformatics-mhc-binding-prediction --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.

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