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.
machine-learning bioinformatics snakemake computational-biology pytorch influenza hiv computational-immunology epitope-prediction graph-neural-networks pytorch-geometric immunogenicity sars-cov-2 vaccinology human-papillomavirus epstein-barr-virus structural-immunology
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Sep 9, 2026 - Python