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dc.contributor.author
McGowan, Ed  
dc.contributor.author
Rosenthal, Rachel  
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Fiore Gartland, Andrew  
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Macharia, Gladys  
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Balinda, Sheila  
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Kapaata, Anne  
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Umviligihozo, Gisele  
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Muok, Erick  
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Dalel, Jama  
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Streatfield, Claire L.  
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Coutinho, Helen  
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Dilernia, Dario  
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Monaco, Daniela C.  
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Morrison, David  
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Yue, Ling  
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Hunter, Eric  
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Nielsen, Morten  
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Gilmour, Jill  
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Hare, Jonathan  
dc.date.available
2022-11-22T11:03:22Z  
dc.date.issued
2021-02  
dc.identifier.citation
McGowan, Ed; Rosenthal, Rachel; Fiore Gartland, Andrew; Macharia, Gladys; Balinda, Sheila; et al.; Utilizing Computational Machine Learning Tools to Understand Immunogenic Breadth in the Context of a CD8 T-Cell Mediated HIV Response; Frontiers Media; Frontiers in Immunology; 12; 609884; 2-2021; 1-9  
dc.identifier.uri
http://hdl.handle.net/11336/178451  
dc.description.abstract
Predictive models are becoming more and more commonplace as tools for candidate antigen discovery to meet the challenges of enabling epitope mapping of cohorts with diverse HLA properties. Here we build on the concept of using two key parameters, diversity metric of the HLA profile of individuals within a population and consideration of sequence diversity in the context of an individual's CD8 T-cell immune repertoire to assess the HIV proteome for defined regions of immunogenicity. Using this approach, analysis of HLA adaptation and functional immunogenicity data enabled the identification of regions within the proteome that offer significant conservation, HLA recognition within a population, low prevalence of HLA adaptation and demonstrated immunogenicity. We believe this unique and novel approach to vaccine design as a supplement to vitro functional assays, offers a bespoke pipeline for expedited and rational CD8 T-cell vaccine design for HIV and potentially other pathogens with the potential for both global and local coverage.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Frontiers Media  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
CD8 T-CELLS  
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HIV  
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MACHINE LEARNING  
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T-CELL EPITOPES  
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VACCINES  
dc.subject.classification
Otras Ciencias de la Salud  
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Ciencias de la Salud  
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CIENCIAS MÉDICAS Y DE LA SALUD  
dc.title
Utilizing Computational Machine Learning Tools to Understand Immunogenic Breadth in the Context of a CD8 T-Cell Mediated HIV Response  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2022-09-20T11:07:03Z  
dc.identifier.eissn
1664-3224  
dc.journal.volume
12  
dc.journal.number
609884  
dc.journal.pagination
1-9  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: McGowan, Ed. Imperial College London; Reino Unido  
dc.description.fil
Fil: Rosenthal, Rachel. Francis Crick Institute; Reino Unido  
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Fil: Fiore Gartland, Andrew. Fred Hutchinson Cancer Research Cente; Estados Unidos  
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Fil: Macharia, Gladys. Imperial College London; Reino Unido  
dc.description.fil
Fil: Balinda, Sheila. Uganda Virus Research Institute; Uganda  
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Fil: Kapaata, Anne. Uganda Virus Research Institute; Uganda  
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Fil: Umviligihozo, Gisele. Center for Family Health Research; Ruanda  
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Fil: Muok, Erick. Center for Family Health Research; Ruanda  
dc.description.fil
Fil: Dalel, Jama. Imperial College London; Reino Unido  
dc.description.fil
Fil: Streatfield, Claire L.. Imperial College London; Reino Unido  
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Fil: Coutinho, Helen. Imperial College London; Reino Unido  
dc.description.fil
Fil: Dilernia, Dario. University of Emory; Estados Unidos  
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Fil: Monaco, Daniela C.. University of Emory; Estados Unidos  
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Fil: Morrison, David. South Walsham; Reino Unido  
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Fil: Yue, Ling. University of Emory; Estados Unidos  
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Fil: Hunter, Eric. University of Emory; Estados Unidos  
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Fil: Nielsen, Morten. Technical University of Denmark; Dinamarca. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Gilmour, Jill. Imperial College London; Reino Unido  
dc.description.fil
Fil: Hare, Jonathan. International Aids Vaccine Initiative; Estados Unidos  
dc.journal.title
Frontiers in Immunology  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3389/fimmu.2021.609884  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fimmu.2021.609884/full