Utilizing Computational Machine Learning Tools to Understand Immunogenic Breadth in the Context of a CD8 T-Cell Mediated HIV Response
E. McGowan, R. Rosenthal, A. Fiore-Gartland, G. Macharia, S. Balinda, A. Kapaata, E. Muok, G. Umviligihozo, J. Dalel, C. Streatfield, H. Coutinho, D. Monaco, D. Morrison, L. Yue, E. Hunter, , J. Hare
The paper uses computational models to identify immunogenic regions in the HIV proteome by analyzing HLA diversity and CD8 T-cell immune repertoires, offering a pipeline for vaccine design.
bioRxiv · Aug 15, 2020Immunology