title: [Bioinformatics studies on drug resistance against anti-HIV-1 drugs].
abstract: More than 20 drugs have been available for anti-HIV-1 treatment in Japan. Combination therapy with these drugs dramatically decreases in morbidity and mortality of AIDS. However, due to high mutation rate of HIV-1, treatment with ineffective drugs toward patients infected with HIV-1 causes accumulation of mutations in the virus, and emergence of drug resistant viruses. Thus, to achieve appropriate application of the drugs toward the respective patients living with HIV-1, methods for predicting the level of drug-resistance using viral sequence information has been developed on the basis of bioinformatics. Furthermore, ultra-deep sequencing by next-generation sequencer whose data analysis is also based on bioinformatics, or in silico structural modeling have been achieved to understand drug resistant mechanisms. In this review, I overview the bioinformatics studies about drug resistance against anti-HIV-1 drugs.
authors.affiliation: Laboratory of Infectious Diseases, National Hospital Organization Nagoya Medical Center, National Institute of Infectious Diseases. odehir@nih.go.jp
authors.forename: Hirotaka
authors.initials: H
authors.lastname: Ode
mesh_terms: D019380:Anti-HIV Agents / Q000494:pharmacology*; D065100:CCR5 Receptor Antagonists; D019295:Computational Biology; D024882:Drug Resistance, Viral / Q000235:genetics*; D016679:Genome, Viral; D015497:HIV-1 / Q000187:drug effects* / Q000235:genetics*; D054298:Human Immunodeficiency Virus Proteins / Q000737:chemistry; D006801:Humans; D009154:Mutation; D011487:Protein Conformation
chemical_list: D019380:Anti-HIV Agents; D065100:CCR5 Receptor Antagonists; D054298:Human Immunodeficiency Virus Proteins