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Computational MHC-I epitope predictor identifies 95% of experimentally mapped HIV-1 clade A and D epitopes in a Ugandan cohort

BACKGROUND: Identifying immunogens that induce HIV-1-specific immune responses is a lengthy process that can benefit from computational methods, which predict T-cell epitopes for various HLA types. METHODS: We tested the performance of the NetMHCpan4.0 computational neural network in re-identifying...

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Detalles Bibliográficos
Autores principales:	Bugembe, Daniel Lule, Ekii, Andrew Obuku, Ndembi, Nicaise, Serwanga, Jennifer, Kaleebu, Pontiano, Pala, Pietro
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7036183/ https://www.ncbi.nlm.nih.gov/pubmed/32087680 http://dx.doi.org/10.1186/s12879-020-4876-4

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