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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Bibliografiska uppgifter
I publikationen:BMC Infect Dis
Huvudupphovsmän: Bugembe, Daniel Lule, Ekii, Andrew Obuku, Ndembi, Nicaise, Serwanga, Jennifer, Kaleebu, Pontiano, Pala, Pietro
Materialtyp: Artigo
Språk:Inglês
Publicerad: BioMed Central 2020
Ämnen:
Research Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC7036183/
https://ncbi.nlm.nih.gov/pubmed/32087680
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12879-020-4876-4
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