Utilizing Computational Machine Learning Tools to Understand Immunogenic Breadth in the Context of a CD8 T-Cell Mediated HIV Response

Utilizing Computational Machine Learning Tools to Understand Immunogenic Breadth in the Context of a CD8 T-Cell Mediated HIV Response

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 wi...

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Bibliographic Details
Main Authors: Ed McGowan, Rachel Rosenthal, Andrew Fiore-Gartland, Gladys Macharia, Sheila Balinda, Anne Kapaata, Gisele Umviligihozo, Erick Muok, Jama Dalel, Claire L. Streatfield, Helen Coutinho, Dario Dilernia, Daniela C. Monaco, David Morrison, Ling Yue, Eric Hunter, Morten Nielsen, Jill Gilmour, Jonathan Hare
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Immunology
Subjects:
CD8 T-cells
HIV
T-cell epitopes
vaccines
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2021.609884/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2021.609884/full

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