Article
The fitness landscape of HIV-1 gag: advanced modeling approaches and validation of model predictions by in vitro testing.
PLoS computational biology - 1 Aug 2014
Mann Jaclyn K, Barton John P, Ferguson Andrew L, Omarjee Saleha, Walker Bruce D, Chakraborty Arup, Ndung'u Thumbi
Abstract excerpt
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 impaired viral fitness, thus blocking viable escape routes. Here, we advance the computational models to address previous...
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