Data & ReproProtein Structure & DesignFreedomIntelligence/OpenClaw-Medical-SkillsData & Reproduction
BI

bio-immunoinformatics-mhc-binding-prediction

Maintainer FreedomIntelligence · Last updated April 1, 2026

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.

OpenClawNanoClawAnalysisReproductionbio-immunoinformatics-mhc-binding-prediction🧬 bioinformatics (gptomics bio-* suite)bioinformatics — immunoinformatics & flow cytometrypredict

Original source

FreedomIntelligence/OpenClaw-Medical-Skills

https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/bio-immunoinformatics-mhc-binding-prediction

Maintainer
FreedomIntelligence
License
MIT
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • Python: mhcflurry.Class1PresentationPredictor().predict() for MHC-I.
  • CLI: netMHCpan for alternative MHC-I/II predictions.
  • 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-downloads fetch.

Source Doc

Excerpt From SKILL.md

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.


## Download models for specific alleles

mhcflurry-downloads fetch models_class1_pan

MHCflurry Python API

Goal: Predict peptide-MHC binding affinity and presentation scores for a set of peptides.

Approach: Load the Class1PresentationPredictor and call predict() with peptide-allele pairs to obtain IC50, percentile rank, and presentation scores.

from mhcflurry import Class1PresentationPredictor

Use cases

  • Use when predicting MHC binding for vaccine design or neoantigen identification.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

Upstream Related Skills

  • immunoinformatics/neoantigen-prediction - Tumor neoantigen discovery
  • immunoinformatics/epitope-prediction - B-cell epitope prediction
  • clinical-databases/hla-typing - Determine patient HLA type

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