Literature DB >> 16782210

Algorithms for the interpretation of HIV-1 genotypic drug resistance information.

Jurgen Vercauteren1, Anne-Mieke Vandamme.   

Abstract

Drug resistance testing has proven its use to guide treatment decisions in HIV-1 infected patients. Genotyping is the preferred technique for clinical drug resistance testing. Many factors complicate the interpretation of mutations towards therapy response, such that an interpretation system is necessary to help the clinical virologist. No consensus interpretation exists to date and experts often have quite different opinions. As a result, several algorithms for the interpretation of HIV-1 genotypic drug resistance information have been designed. Clinical evaluation of their genotypic interpretation is not always straightforward. We describe a few publicly available systems and their clinical evaluation. We also stress that in addition to drug resistance, for effective management of HIV infection the clinician needs to take into account all potential causes of treatment failure. Successful therapy heavily relies on the expertise of the clinician.

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Year:  2006        PMID: 16782210     DOI: 10.1016/j.antiviral.2006.05.003

Source DB:  PubMed          Journal:  Antiviral Res        ISSN: 0166-3542            Impact factor:   5.970


  16 in total

1.  Extracting causal relations on HIV drug resistance from literature.

Authors:  Quoc-Chinh Bui; Breanndán O Nualláin; Charles A Boucher; Peter M A Sloot
Journal:  BMC Bioinformatics       Date:  2010-02-23       Impact factor: 3.169

2.  HIV-K: an integrative knowledge base for semantic integration of AIDS-related malignancy data and treatment outcomes.

Authors:  A Tirado-Ramos; Joel Saltz; Mary Jo Lechowicz
Journal:  Stud Health Technol Inform       Date:  2010

3.  Novel two-round phenotypic assay for protease inhibitor susceptibility testing of recombinant and primary HIV-1 isolates.

Authors:  Maria C Puertas; Maria J Buzón; Mònica Ballestero; Peter Van Den Eede; Bonaventura Clotet; Julia G Prado; Javier Martinez-Picado
Journal:  J Clin Microbiol       Date:  2012-09-26       Impact factor: 5.948

4.  Comprehensive Mapping of HIV-1 Escape from a Broadly Neutralizing Antibody.

Authors:  Adam S Dingens; Hugh K Haddox; Julie Overbaugh; Jesse D Bloom
Journal:  Cell Host Microbe       Date:  2017-06-01       Impact factor: 21.023

5.  Predicting drug resistance of the HIV-1 protease using molecular interaction energy components.

Authors:  Tingjun Hou; Wei Zhang; Jian Wang; Wei Wang
Journal:  Proteins       Date:  2009-03

6.  Genotypic susceptibility scores and HIV type 1 RNA responses in treatment-experienced subjects with HIV type 1 infection.

Authors:  Jeffrey A Anderson; Hongyu Jiang; Xiao Ding; Leslie Petch; Terri Journigan; Susan A Fiscus; Richard Haubrich; David Katzenstein; Ronald Swanstrom; Roy M Gulick
Journal:  AIDS Res Hum Retroviruses       Date:  2008-05       Impact factor: 2.205

7.  geno2pheno[ngs-freq]: a genotypic interpretation system for identifying viral drug resistance using next-generation sequencing data.

Authors:  Matthias Döring; Joachim Büch; Georg Friedrich; Alejandro Pironti; Prabhav Kalaghatgi; Elena Knops; Eva Heger; Martin Obermeier; Martin Däumer; Alexander Thielen; Rolf Kaiser; Thomas Lengauer; Nico Pfeifer
Journal:  Nucleic Acids Res       Date:  2018-07-02       Impact factor: 16.971

8.  Dynamical basis for drug resistance of HIV-1 protease.

Authors:  Yi Mao
Journal:  BMC Struct Biol       Date:  2011-07-08

9.  Clinical evaluation of Rega 8: an updated genotypic interpretation system that significantly predicts HIV-therapy response.

Authors:  Jurgen Vercauteren; Gertjan Beheydt; Mattia Prosperi; Pieter Libin; Stijn Imbrechts; Ricardo Camacho; Bonaventura Clotet; Andrea De Luca; Zehava Grossman; Rolf Kaiser; Anders Sönnerborg; Carlo Torti; Eric Van Wijngaerden; Jean-Claude Schmit; Maurizio Zazzi; Anna-Maria Geretti; Anne-Mieke Vandamme; Kristel Van Laethem
Journal:  PLoS One       Date:  2013-04-17       Impact factor: 3.240

10.  HIV Drug-Resistant Patient Information Management, Analysis, and Interpretation.

Authors:  Yashik Singh; Maurice Mars
Journal:  JMIR Res Protoc       Date:  2012-06-07
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