bio-immunoinformatics-epitope-prediction
Predict B-cell and T-cell epitopes using BepiPred, IEDB tools, and structure-based methods for vaccine and antibody design. Identify immunogenic regions in antigens. Use when designing vaccines, mapping antibody binding sites, or predicting immunogenic peptides.
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-immunoinformatics-epitope-prediction --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## Version Compatibility Reference examples tested with: 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 If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying. # Epitope Prediction **"Predict B-cell and T-cell epitopes in my protein"** → Identify immunogenic regions in antigens for vaccine design using sequence-based and structure-based prediction tools. - Python: IEDB API for B-cell epitope prediction (BepiPred) - Python: `mhcflurry` for T-cell epitope MHC binding prediction ## B-Cell Epitope Prediction **Goal:** Predict linear B-cell epitopes from protein sequence using IEDB prediction tools. **Approach:** Submit sequence to IEDB B-cell prediction API with selectable method (BepiPred-2.0 recommended) and parse tab-separated results. ### BepiPred-2.0 (Sequence-Based) ```python import requests def predict_bcell_epitopes_iedb(sequence, method='bepipred2'): '''Predict B-cell epitopes using IEDB API Methods: - bepipred2: Deep learning (recommended) - bepipred:
- Version Compatibility
- B-Cell Epitope Prediction
- BepiPred-2.0 (Sequence-Based)
- Parse BepiPred Results
- T-Cell Epitope Prediction
- Linear vs Conformational Epitopes
- Combine Multiple Predictions
- Epitope Mapping from Experimental Data
- Related Skills
What does the bio-immunoinformatics-epitope-prediction skill do?
Predict B-cell and T-cell epitopes using BepiPred, IEDB tools, and structure-based methods for vaccine and antibody design. Identify immunogenic regions in antigens. Use when designing vaccines, mapping antibody binding sites, or predicting immunogenic peptides.
How do I install it?
Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill bio-immunoinformatics-epitope-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.