Translating HIV sequences into quantitative fitness landscapes predicts viral vulnerabilities for rational immunogen design.

@article{Ferguson2013TranslatingHS,
  title={Translating HIV sequences into quantitative fitness landscapes predicts viral vulnerabilities for rational immunogen design.},
  author={Andrew L. Ferguson and Jaclyn K. Mann and Saleha Omarjee and Thumbi Ndung'u and Bruce D. Walker and Arup K. Chakraborty},
  journal={Immunity},
  year={2013},
  volume={38 3},
  pages={606-17}
}
A prophylactic or therapeutic vaccine offers the best hope to curb the HIV-AIDS epidemic gripping sub-Saharan Africa, but it remains elusive. A major challenge is the extreme viral sequence variability among strains. Systematic means to guide immunogen design for highly variable pathogens like HIV are not available. Using computational models, we have developed an approach to translate available viral sequence data into quantitative landscapes of viral fitness as a function of the amino acid… CONTINUE READING
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