MHCAttnNet: predicting MHC-peptide bindings for MHC alleles classes I and II using an attention-based deep neural model

MOTIVATION: Accurate prediction of binding between a major histocompatibility complex (MHC) allele and a peptide plays a major role in the synthesis of personalized cancer vaccines. The immune system struggles to distinguish between a cancerous and a healthy cell. In a patient suffering from cancer...

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Detalles Bibliográficos
Autores principales: Venkatesh, Gopalakrishnan, Grover, Aayush, Srinivasaraghavan, G, Rao, Shrisha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Studies of Phenotypes and Clinical Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355292/
https://www.ncbi.nlm.nih.gov/pubmed/32657386
http://dx.doi.org/10.1093/bioinformatics/btaa479

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7355292/
https://www.ncbi.nlm.nih.gov/pubmed/32657386
http://dx.doi.org/10.1093/bioinformatics/btaa479

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