The system provides an estimate of in vivo efficacy of commonly used antiretroviral drug combinations based on user-defined information of HIV genotype (mandatory) and additional patient information (recommended). The engine is not intended as a replacement for standard of care but can be used by HIV specialists as an additional treatment decision support tool. Although analysis of a large data set of medical records has shown a good performance of the system, there is no warranty that its use will improve patient health. HIV care must rely on a solid knowledge of the complex host-virus interaction and proper consideration of patient status and commitment.


  • http://hivdb.stanford.edu/pages/algs/HIVdb.html

    The Stanford University HIV Drug Resistance Database is the most comprehensive web site devoted to HIV drug resistance, providing a very popular and regularly updated genotypic resistance interpretation algorithm (HIVdb). The system accepts user-submitted protease (PR) and reverse transcriptase (RT) sequences and returns inferred levels of resistance to 19 PR and RT inhibitors. Its purpose is educational and as such it provides extensive comments and a highly transparent scoring system that is hyperlinked to data in the HIV Drug Resistance Database. Other relevant features include HIValg, a program to compare the most commonly used genotypic resistance algorithms and an expanding array of statistics and query pages on HIV drug resistance.

  • http://www.geno2pheno.org/cgi-bin/geno2pheno.pll

    Developed at the Max Planck Institute for Bioinformatics in Saarbrucken, geno2pheno is the only freely available data-driven system for estimating phenotypic drug resistance from HIV-1 genotype. On submitting an HIV-1 pol-gene DNA sequence you will obtain a sequence alignment to the reference strain HXB2, a list of mutations and different predictions of phenotypic resistance of the respective virus to 17 antiretroviral drugs. Clinical cut-offs can be accepted as defaulted by the system or set by the user.

  • http://www.hivfrenchresistance.org/index.html

    The French ANRS (National Agency for AIDS Research) AC11 Resistance group provides HIV-1 genotypic drug resistance interpretation’s algorithms in order to guide physicians in the choice of antiretroviral treatment.These algorithms are mainly based on correlation between drug resistance mutations and virological outcome from patients failing antiretroviral therapy. The rules are presented as tables listing mutations conferring genotypic resistance or possible genotypic resistance to anti-HIV drugs.

  • http://www.rega.kuleuven.be/cev/index.php?id=30

    The genotypic HIV resistance interpretation algorithm developed and maintained by the REGA Institute for Medical Research at Leuven, Belgium is another very popular system. The previous and current algorithms are available as pdf and xml files.

  • http://regatools.med.kuleuven.be/typing/v3/hiv/typingtool

    REGA HIV-1 Automated Subtying Tool - A tool designed to use phylogenetic methods in order to identify the subtype of a specific sequence. The sequence is analysed for recombination using bootscanning methods.

  • http://www.hivarca.net/

    ARCA (Antiretroviral Resistance Cohort Analysis) is a public Italian database developed as a tool for investigating resistance to drugs used against HIV. ARCA can be freely consulted in the public area to access descriptive statistics on antiretroviral resistance and use a genotype interpretation system (AntiRetroScan). ARCA is being used as on-line HIV patient database by many clinics and laboratories in Italy.

  • http://www.hivrdi.org/

    The HIV Resistance Response Database Initiative is to improve the clinical management of HIV infection by developing and making freely accessible a large clinical database and bioinformatic techniques that define with increased precision and reliability the relationships between HIV resistance and virologic response to treatment.

  • http://www.hivforum.org/

    The forum for collaborative HIV research.