Machine-learning prediction of tumor antigen immunogenicity in the selection of therapeutic epitopes

Current tumor neoantigen calling algorithms primarily rely on epitope/MHC binding affinity predictions to rank and select for potential epitope targets. These algorithms do not predict for epitope immunogenicity using approaches modeled from tumor-specific antigen data. Here, we describe peptide-int...

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Detalhes bibliográficos
Publicado no:Cancer Immunol Res
Main Authors: Smith, Christof C., Chai, Shengjie, Washington, Amber R., Lee, Samuel J., Landoni, Elisa, Field, Kevin, Garness, Jason, Bixby, Lisa M., Selitsky, Sara R., Parker, Joel S., Savoldo, Barbara, Serody, Jonathan S., Vincent, Benjamin G.
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6774822/
https://ncbi.nlm.nih.gov/pubmed/31515258
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1158/2326-6066.CIR-19-0155
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