DeepNeo

KAIST OMICS LAB, 2022

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To exert immune effect, a peptide has to be both presented by MHC complex and recognized by T cell. DeepNeo integrates two predictive models, DeepNeo-mhc and DeepNeo-tcr. DeepNeo-mhc predicts binding of peptides and MHC proteins and DeepNeo-tcr predicts T cell reactivity of the given peptide-MHC complex.

* Reference :
DeepNeo: a webserver for predicting immunogenic neoantigens. Nucleic Acids Research (2023) https://doi.org/10.1093/nar/gkad275
MHC II immunogenicity shapes the neoepitope landscape in human tumors. Nat. Genet. (2023) https://doi.org/10.1038/s41588-022-01273-y
Predicting clinical benefit of immunotherapy by antigenic or functional mutations affecting tumour immunogenicity. Nat. Commun. (2020) https://doi.org/10.1038/s41467-020-14562-z

* Contact : jungkyoon@kaist.ac.kr

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