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., Barton, John P., Ferguson, Andrew L., Omarjee, Saleha, Walker, Bruce D., Ndung'u, Thumbi, Chakraborty, Arup K
Other Authors: Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Format: Article
Language:en_US
Published: Public Library of Science 2014
Online Access:http://hdl.handle.net/1721.1/90985
https://orcid.org/0000-0003-1467-421X
https://orcid.org/0000-0003-1268-9602

Internet

http://hdl.handle.net/1721.1/90985
https://orcid.org/0000-0003-1467-421X
https://orcid.org/0000-0003-1268-9602

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