ArticlePLoS computational biology2007
HIV-1 subtype B protease and reverse transcriptase amino acid covariation.
Article in PLoS computational biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
58 citing papers in PubMed, 108 citations in OpenAlex.
- Reconstruction of Viral Variants via Monte Carlo Clustering.Journal of computational biology : a journal of computational molecular cell biology · 2023Article
- ViReMa: a virus recombination mapper of next-generation sequencing data characterizes diverse recombinant viral nucleic acids.GigaScience · 2023Article
- Electronic Health Diary Campaigns to Complement Longitudinal Assessments in Persons With Multiple Sclerosis: Nested Observational Study.JMIR mHealth and uHealth · 2022Observational
- Spectrum of Atazanavir-Selected Protease Inhibitor-Resistance Mutations.Pathogens (Basel, Switzerland) · 2022Article
- Covariation of viral recombination with single nucleotide variants during virus evolution revealed by CoVaMa.Nucleic acids research · 2022Article
- Accurate assembly of minority viral haplotypes from next-generation sequencing through efficient noise reduction.Nucleic acids research · 2021Article
- Using machine learning and big data to explore the drug resistance landscape in HIV.PLoS computational biology · 2021Article
- Epidemiological data analysis of viral quasispecies in the next-generation sequencing era.Briefings in bioinformatics · 2021Review
- Analysis of heterogeneous genomic samples using image normalization and machine learning.BMC genomics · 2020Article
- Retrospective analysis of HIV-1 drug resistance mutations in Suzhou, China from 2009 to 2014.Virus genes · 2020Article
- COVTree: Coevolution in OVerlapped sequences by Tree analysis server.Nucleic acids research · 2020Article
- Better ILP models for haplotype assembly.BMC bioinformatics · 2018Article
- Inference of Epistatic Effects Leading to Entrenchment and Drug Resistance in HIV-1 Protease.Molecular biology and evolution · 2017Article
- Observational
- HIV-1 drug resistance and resistance testing.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2016Review
- Emerging Computational Methods for the Rational Discovery of Allosteric Drugs.Chemical reviews · 2016Review
- Analysis of coevolution in nonstructural proteins of chikungunya virus.Virology journal · 2016Article
- CoVaMa: Co-Variation Mapper for disequilibrium analysis of mutant loci in viral populations using next-generation sequence data.Methods (San Diego, Calif.) · 2015Article
- Synthetic lethals in HIV: ways to avoid drug resistance : Running title: Preventing HIV resistance.Biology direct · 2015Article
- Deep sequencing of protease inhibitor resistant HIV patient isolates reveals patterns of correlated mutations in Gag and protease.PLoS computational biology · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Despite the high degree of HIV-1 protease and reverse transcriptase (RT) mutation in the setting of antiretroviral therapy, the spectrum of possible virus variants appears to be limited by patterns of amino acid covariation. We analyzed patterns of amino acid covariation in protease and RT sequences from more than 7,000 persons infected with HIV-1 subtype B viruses obtained from the Stanford HIV Drug Resistance Database (http://hivdb.stanford.edu). In addition, we examined the relationship between conditional probabilities associated with a pair of mutations and the order in which those mutations developed in viruses for which longitudinal sequence data were available. Patterns of RT covariation were dominated by the distinct clustering of Type I and Type II thymidine analog mutations and the Q151M-associated mutations. Patterns of protease covariation were dominated by the clustering of nelfinavir-associated mutations (D30N and N88D), two main groups of protease inhibitor (PI)-resistance mutations associated either with V82A or L90M, and a tight cluster of mutations associated with decreased susceptibility to amprenavir and the most recently approved PI darunavir. Different patterns of covariation were frequently observed for different mutations at the same position including the RT mutations T69D versus T69N, L74V versus L74I, V75I versus V75M, T215F versus T215Y, and K219Q/E versus K219N/R, and the protease mutations M46I versus M46L, I54V versus I54M/L, and N88D versus N88S. Sequence data from persons with correlated mutations in whom earlier sequences were available confirmed that the conditional probabilities associated with correlated mutation pairs could be used to predict the order in which the mutations were likely to have developed. Whereas accessory nucleoside RT inhibitor-resistance mutations nearly always follow primary nucleoside RT inhibitor-resistance mutations, accessory PI-resistance mutations often preceded primary PI-resistance mutations.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.