What problem does it solve?
Immunology research requires querying many specialized databases (IEDB, IMGT, SAbDab, OpenTargets, FAERS) with strict parameter formats and domain-specific reasoning. This Skill guides AI agents through verified immunology workflows so answers are grounded in database evidence rather than guesswork.
Core Features & Use Cases
- Antibody and Epitope Analysis: Search SAbDab/TheraSAbDab for antibody structures and therapeutics, and query IEDB for T-cell/B-cell epitopes, MHC binding data, and TCR/BCR sequences.
- Autoimmune Disease Genetics: Map diseases to genes via Orphanet and GWAS, then run pathway enrichment with KEGG and Reactome to build multi-layer evidence.
- Immunotherapy Safety Profiling: Compute FAERS disproportionality signals (PRR, ROR, IC), compare drugs, and cross-check target safety via OpenTargets.
- Use Case: To evaluate an immune checkpoint inhibitor, resolve its target with OpenTargets, pull co-crystal structures from SAbDab, check IEDB epitope data, and compare adverse event profiles against a competitor drug in FAERS.
Quick Start
Ask the agent to compare the adverse event profiles of pembrolizumab and nivolumab and summarize the target biology of PD-1 using immunology databases.