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...

Descripción completa

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

Internet

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

Ejemplares similares