scientific-immunoinformatics

Analyze immune epitopes, repertoire diversity, and antibody structures from integrated immunoinformatics data.

3|1|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/nahisaho/satori --skill scientific-immunoinformatics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scientific-immunoinformatics
Source: https://github.com/nahisaho/satori/tree/main/src/.github/skills/scientific-immunoinformatics
Command: npx skills add https://github.com/nahisaho/satori --skill scientific-immunoinformatics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Immunoinformatics tasks such as epitope prediction, repertoire analysis, and antibody structure studies require integrating multiple databases and tools. This skill provides end-to-end workflows to streamline these analyses.

Core Features & Use Cases

  • Epitope prediction for MHC I/II binding and mapping of T and B cell epitopes.
  • Antibody sequence and structural analysis (CDR loops) and repertoire diversity assessment.
  • Vaccine candidate prioritization and integration with IEDB/IMGT/SAbDab data pipelines.
  • Modular pipeline designed to work with ToolUniverse and external databases to produce CSV/JSON outputs.

Quick Start

Analyze a peptide set to predict MHC binding, map epitopes, and assess repertoire diversity using integrated immunoinformatics resources.

Frequently Asked Questions about scientific-immunoinformatics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I predict MHC binding and map T cell epitopes from peptide sequences?

MHC binding predictions and T cell epitope mapping are performed by integrating IEDB resources through modular pipelines, identifying peptide interactions and outputting results in CSV or JSON formats.

Can I analyze antibody structures and assess TCR/BCR repertoire diversity?

Yes, you can analyze antibody CDR loops and assess TCR/BCR repertoire diversity by integrating IMGT and SAbDab data resources to map repertoire diversity and structural annotations.

What is the best way to integrate IEDB, IMGT, and SAbDab databases for vaccine design?

The best way to integrate IEDB, IMGT, and SAbDab for vaccine design is using an end-to-end immunoinformatics workflow that connects these databases to prioritize vaccine candidates and generate structured outputs.

Does this immunoinformatics pipeline support antibody sequence analysis and CDR loop mapping?

Yes, the immunoinformatics pipeline supports antibody sequence analysis and CDR loop mapping by leveraging SAbDab integration to extract structural annotations and output repertoire diversity assessments.

How do I prioritize vaccine candidates using integrated immunoinformatics data?

To prioritize vaccine candidates, the workflow integrates MHC binding predictions, T and B cell epitope mapping, and repertoire diversity data from IEDB and IMGT to systematically rank potential targets.

What output formats are generated by the immunoinformatics epitope prediction pipelines?

The immunoinformatics epitope prediction pipelines generate structured CSV and JSON outputs, allowing seamless integration of MHC binding scores, epitope maps, and repertoire diversity metrics into downstream workflows.