Data from: Mapping polyclonal HIV-1 antibody responses via next-generation neutralization fingerprinting

Nicole A. Doria-Rose, Han R. Altae-Tran, Ryan S. Roark, Stephen D. Schmidt, Matthew S. Sutton, Mark K. Louder, Gwo-Yu Chuang, Robert T. Bailer, Valerie Cortez, Rui Kong, Krisha McKee, Sijy O'Dell, Felicia Wang, Salim S. Abdool Karim, James M. Binley, Mark Connors, Barton F. Haynes, Malcolm A. Martin, David C. Montefiori, Lynn Morris, Julie Overbaugh, Peter D. Kwong, John R. Mascola, Ivelin S. Georgiev & Sijy O’Dell
Computational neutralization fingerprinting, NFP, is an efficient and accurate method for predicting the epitope specificities of polyclonal antibody responses to HIV-1 infection. Here, we present next-generation NFP algorithms that substantially improve prediction accuracy for individual donors and enable serologic analysis for entire cohorts. Specifically, we developed algorithms for: (a) selection of optimized virus neutralization panels for NFP analysis, (b) estimation of NFP prediction confidence for each serum sample, and (c) identification of sera with potentially...

Registration Year

  • 2017
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Resource Types

  • Dataset
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Affiliations

  • Fred Hutchinson Cancer Research Center
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  • University of Washington
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  • Columbia University
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  • Duke University
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  • National Institutes of Health
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  • Duke University School of Medicine
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  • San Diego Biomedical Research Institute
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  • Vanderbilt University
    1
  • University of the Witwatersrand
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  • National Institute of Allergy and Infectious Diseases
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