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Human Immunodeficiency Virus Reverse Transcriptase and Protease Sequence Database: an expanded data model integrating

R Kantor1, R Machekano, M J Gonzales

  • 1Division of Infectious Diseases, Stanford University Medical Center, Stanford, CA 94305, USA.

Nucleic Acids Research
|January 11, 2000
PubMed
Summary
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The HIV Sequence Database catalogs evolutionary and drug-resistance variations in HIV reverse transcriptase and protease. It now includes over 3500 new sequences and drug susceptibility data.

Area of Science:

  • Virology
  • Bioinformatics
  • Drug Resistance Studies

Background:

  • The human immunodeficiency virus (HIV) relies on reverse transcriptase (RT) and protease enzymes for replication.
  • These enzymes are primary targets for antiretroviral therapies.
  • Understanding sequence variation in these enzymes is crucial for effective HIV treatment and management.

Purpose of the Study:

  • To maintain and expand the HIV Reverse Transcriptase and Protease Sequence Database.
  • To integrate evolutionary and drug-related sequence variation data.
  • To enhance the database with drug susceptibility information and analysis tools.

Main Methods:

  • Compiling published HIV RT and protease sequences from various sources, including international collaborations and journal articles.

Related Experiment Videos

  • Linking sequence data with information on sample origin and patient antiretroviral drug treatment history.
  • Expanding the data model to incorporate drug susceptibility data for sequenced isolates.

    • Main Results:

    • The database now contains a comprehensive collection of nearly all published HIV RT and protease sequences.
    • Over 3500 new sequences were added in the past year.
    • The database integrates sequence data with drug susceptibility information, treatment history, and didactic text.

    Conclusions:

    • The HIV Sequence Database serves as a vital resource for researchers studying HIV evolution and drug resistance.
    • The continuous updates and integration of drug susceptibility data enhance its utility for clinical and research purposes.
    • The database facilitates a deeper understanding of the molecular targets of anti-HIV therapy.