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HIV Drug Resistance

Name: HIV Drug Resistance
Creator: Douglas D. Richman
Keywords: Base Sequence, Molecular Sequence Data, HIV, HIV Infections, Drug Resistance, Microbial, Antiviral Agents, Dideoxynucleosides, 3. Good health, DNA, Viral, Animals

descriptionPublicationkeyboard_double_arrow_right Article 01 Jun 1992Publisher:Annual ReviewsJournal:Annual Review of Pharmacology and Toxicology, volume 33, pages 149-164 (issn: 0362-1642, eissn: 1545-4304,

Authors: Douglas D. Richman;

doi: 10.1146/annurev.pa.33.040193.001053 , 10.1097/00002030-199411004-00010 , 10.1089/aid.1992.8.1065 , 10.1146/annurev.pharmtox.33.1.149

pmid: 7684212 , 1503820

HIV Drug Resistance

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Abstract

Infection with human immunodeficiency virus (HIV) is a chronic process with persistent, high rates of replication. The virus exhibits high rates of mutation over time within the same individual. It is thus not surprising that drug-resis tant mutants of HIV emerge under the selective pressure of prolonged chemotherapy, especially with the knowledge of the clinical emergence of drug-resistant mutants of herpes simplex virus, varicella zoster virus, cyto megalovirus, influenza A virus, and rhinovirus (1).

Related Organizations

University of California, San Diego
United States

Keywords

Base Sequence, Molecular Sequence Data, HIV, HIV Infections, Drug Resistance, Microbial, Antiviral Agents, Dideoxynucleosides, DNA, Viral, Animals, Humans, Reverse Transcriptase Inhibitors, Amino Acid Sequence, Zidovudine

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	132
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 1%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 1%