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epitope-prediction

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Dry-lab computational pipeline for prioritizing viral CD8+ T-cell epitopes by predicted immunogenicity across nine viral pathogens (CMV, EBV, HBV, HCV, HPV, HIV-1, IAV, DENV, SARS-CoV-2). RF/XGBoost production track; GINEConv+ESM-2 GNN research track. OpenSSF Passing.

  • Updated Jul 19, 2026
  • Python

Python-based bioinformatics pipeline for comparative proteome analysis using overlapping peptide N-mers. Parses compressed FASTA proteomes, builds dataframe-centric peptide datasets, analyzes cross-species peptide occurrences, and generates statistical visualizations and reports with pandas and Biopython.

  • Updated Jun 14, 2026
  • Jupyter Notebook

Computational pipeline for antigen-specific tolerogenic vaccine design—predicting MHC-II epitopes, scoring tolerance potential, and assembling candidate multi-epitope mRNA constructs (starting with ITP).

  • Updated Apr 20, 2026
  • Jupyter Notebook

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