The Fitness Landscape of HIV-1 Gag: Advanced Modeling Approaches and Validation of Model Predictions by In Vitro Testing

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...

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Bibliographic Details
Main Authors: Mann, Jaclyn K. (Author), Barton, John P. (Contributor), Ferguson, Andrew L. (Author), Omarjee, Saleha (Author), Walker, Bruce D. (Author), Ndung'u, Thumbi (Author), Chakraborty, Arup K (Author)
Other Authors: Massachusetts Institute of Technology. Institute for Medical Engineering & Science (Contributor), Massachusetts Institute of Technology. Department of Chemical Engineering (Contributor), Massachusetts Institute of Technology. Department of Chemistry (Contributor), Massachusetts Institute of Technology. Department of Physics (Contributor), Ragon Institute of MGH, MIT and Harvard (Contributor), Chakraborty, Arup K. (Contributor)
Format: Article
Language:English
Published: Public Library of Science, 2014-10-20T14:36:51Z.
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