Mapping Polyclonal HIV-1 Antibody Responses via Next-Generation Neutralization Fingerprinting

• Published in: PLoS pathogens Vol. 13; no. 1; p. e1006148
• Main Authors: Doria-Rose, Nicole A., Altae-Tran, Han R., Roark, Ryan S., Schmidt, Stephen D., Sutton, Matthew S., Louder, Mark K., Chuang, Gwo-Yu, Bailer, Robert T., Cortez, Valerie, Kong, Rui, McKee, Krisha, O’Dell, Sijy, Wang, Felicia, Abdool Karim, Salim S., Binley, James M., Connors, Mark, Haynes, Barton F., Martin, Malcolm A., Montefiori, David C., Morris, Lynn, Overbaugh, Julie, Kwong, Peter D., Mascola, John R., Georgiev, Ivelin S.
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 01.01.2017; Public Library of Science (PLoS)
• Subjects: Acquired immune deficiency syndrome; AIDS; AIDS Vaccines - immunology; Algorithms; Analysis; Antibodies; Antibody Formation; Antibody Specificity; Antigenic determinants; Biology; Biology and Life Sciences; Cohort Studies; Colleges & universities; Computer Simulation; Epitope Mapping - methods; Epitopes - immunology; Experiments; Health aspects; HIV; HIV Antibodies - immunology; HIV Infections - immunology; HIV Infections - virology; HIV-1 - immunology; Human immunodeficiency virus; Humans; Immunology; Infections; Lentivirus; Medical research; Medicine and Health Sciences; Neutralization; Neutralization Tests; Physical Sciences; Physiological aspects; Polyclonal antibodies; Research and Analysis Methods; Retroviridae; Vaccines; United States; United States > US; Nashville Tennessee

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...