HIV Proviral Sequence Database (PSD): A New Public Database for Near Full-Length HIV Proviral Sequences and Their Meta-Analyses

Author:

Shao,Wei

Shan,Jigui

Hu,Wei-Shau

Halvas, Elias Konstantine

Mellors, John W

Coffin, John M

Kearney,Mary
Author Address

Leidos Biomedical Research, Inc., National Laboratory for Cancer Research, Frederick, Building 535 Room 109, PO BOX B, Frederick, Maryland, United States, 21702; shaow@mail.nih.gov., Leidos Biomedical Research, Inc., National Laboratory for Cancer Research, Frederick, Frederick, Maryland, United States; shanj@mail.nih.gov., National Cancer Institute, 3421, HIV Dynamics and Replication Program, Frederick, Maryland, United States; huweishau@mail.nih.gov., University of Pittsburgh, 6614, Division of Infectious Disease, Pittsburgh, Pennsylvania, United States; ekh2@pitt.edu., University of Pittsburgh, Division of Infectious Disease, Pittsburgh, Pennsylvania, United States; jwm1@pitt.edu., Tufts University, Boston, Massachusetts, United States; john.coffin@tufts.edu., National Cancer Institute, HIV Dynamics and Replicaiton Program, Frederick, Maryland, United States; kearneym@mail.nih.gov.,

Abstract:

Despite the success of antiretroviral therapy (ART), HIV persists and viremia rebounds if ART is interrupted. Characterizing proviruses in infected cells that persist on ART is critical to developing strategies to eliminate them. To facilitate our understanding of the genetic structure and dynamics of the HIV reservoir, we developed the Proviral Sequence Database (PSD), https://psd.cancer.gov, for the storage and meta-analyses of HIV sequences prior to ART, that persist on ART, or that rebounded after ART was interrupted.

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