KrishnaswamyLab/ImmunoStruct
[Nature Machine Intelligence] ImmunoStruct enables multimodal deep learning for immunogenicity prediction
ImmunoStruct helps researchers and drug developers predict whether a specific peptide (like those from a virus or tumor) will trigger an immune response when bound to an MHC Class I molecule. By analyzing the peptide's sequence, 3D structure, and biochemical properties, it outputs a prediction of its immunogenicity. This tool is designed for immunologists, vaccinologists, and cancer researchers working on personalized medicine or vaccine development.
Use this if you need to predict the immunogenicity of peptide-MHC Class I complexes, especially for identifying promising vaccine candidates or cancer neoepitopes.
Not ideal if you are working with MHC Class II molecules, need predictions for broader immunological responses beyond peptide-MHC binding, or require an end-to-end user-friendly application rather than a deep learning framework.
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Mar 05, 2026
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