The fitness landscape of HIV-1 gag: advanced modeling approaches and validation of model predictions by in vitro testing.
Viral immune evasion by sequence variation is a major hindrance to HIV-1 vaccine design. To address this challenge, our group has developed a computational model, rooted in physics, that aims to predict the fitness landscape of HIV-1 proteins in order to design vaccine immunogens that lead to impair...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2014-08-01
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Series: | PLoS Computational Biology |
Online Access: | http://europepmc.org/articles/PMC4125067?pdf=render |