[nature machine intelligence] ImmunoStruct enables multimodal deep learning for immunogenicity prediction
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Updated
Mar 5, 2026 - Python
[nature machine intelligence] ImmunoStruct enables multimodal deep learning for immunogenicity prediction
Structure-informed Prediction of Xenotransplantation Immunogenicity
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.
Proteome-Aware Redesign of Therapeutic Proteins Toward Reduced Immunogenicity
Ultrafast MHC binding prediction and epitope's mimic search. Immunogenicity scorer. Designing personalised cancer vaccine cassettes
Leakage-aware, patient-level, reproducible benchmark resource for public MHC-I neoantigen predictors
Protein Representation-integrated Epitope-MHC Class II Binding Prediction
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