IDEPI: Rapid Prediction of HIV-1 Antibody Epitopes and Other Phenotypic Features from Sequence Data Using a Flexible Machine Learning Platform

• N. Lance Hepler,

  Affiliation Interdisciplinary Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, California, United States of America

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• Konrad Scheffler,

  Affiliation Department of Medicine, University of California San Diego, La Jolla, California, United States of America

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• Steven Weaver,

  Affiliation Department of Medicine, University of California San Diego, La Jolla, California, United States of America

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• Ben Murrell,

  Affiliation Department of Medicine, University of California San Diego, La Jolla, California, United States of America

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• Douglas D. Richman,

  Affiliations Department of Pathology, University of California San Diego, La Jolla, California, United States of America, San Diego Veterans Affairs Healthcare System, San Diego, California, United States of America

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• Dennis R. Burton,

  Affiliations The Scripps Research Institute, La Jolla, California, United States of America, Ragon Institute of MGH, MIT, and Harvard, Boston, Massachusetts, United States of America

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• Pascal Poignard,

  Affiliation The Scripps Research Institute, La Jolla, California, United States of America

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• Davey M. Smith,

  Affiliations Department of Medicine, University of California San Diego, La Jolla, California, United States of America, San Diego Veterans Affairs Healthcare System, San Diego, California, United States of America

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• Sergei L. Kosakovsky Pond

  * E-mail: spond@ucsd.edu

  Affiliation Department of Medicine, University of California San Diego, La Jolla, California, United States of America

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