Machine Learning Bolsters Evidence That D1, Nef, and Tat Influence HIV Reservoir Dynamics.

Journal: Pathogens & immunity
Published Date:

Abstract

BACKGROUND: The primary hurdle to curing HIV is due to the establishment of a reservoir early in infection. In an effort to find new treatment strategies, we and others have focused on understanding the selection pressures exerted on the reservoir by studying how proviral sequences change over time.

Authors

  • LaMont Cannon
    Center for Biological Data Science, Virginia Commonwealth University, Richmond, Virginia.
  • Sophia Fehrman
    Center for Biological Data Science, Virginia Commonwealth University, Richmond, Virginia.
  • Marilia Pinzone
    Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Sam Weissman
    Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
  • Una O'Doherty
    Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

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