[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. Matching peptides and their mimics under MHC restriction

Protein Representation-integrated Epitope-MHC Class II Binding Prediction