ReviewComputational and mathematical methods in medicine2015
Genetic Consequences of Antiviral Therapy on HIV-1.
Review in Computational and mathematical methods in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- Decoding HIV-1 Next Move Through Matrix Protein p17 Quasi-Species.MicrobiologyOpen · 2026Article
- Article
- Substitution Models of Protein Evolution with Selection on Enzymatic Activity.Molecular biology and evolution · 2024Article
- The evolution of the HIV-1 protease folding stability.Virus evolution · 2022Article
- Article
- Analysis of evolutionary rate of HIV-1 subtype B using blood donor samples in Japan.Virus genes · 2018Article
- HIV-1 drug-resistant mutations and related risk factors among HIV-1-positive individuals experiencing treatment failure in Hebei Province, China.AIDS research and therapy · 2017Article
- Trends in substitution models of molecular evolution.Frontiers in genetics · 2015Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A variety of enzyme inhibitors have been developed in combating HIV-1, however the fast evolutionary rate of this virus commonly leads to the emergence of resistance mutations that finally allows the mutant virus to survive. This review explores the main genetic consequences of HIV-1 molecular evolution during antiviral therapies, including the viral genetic diversity and molecular adaptation. The role of recombination in the generation of drug resistance is also analyzed. Besides the investigation and discussion of published works, an evolutionary analysis of protease-coding genes collected from patients before and after treatment with different protease inhibitors was included to validate previous studies. Finally, the review discusses the importance of considering genetic consequences of antiviral therapies in models of HIV-1 evolution that could improve current genotypic resistance testing and treatments design.
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