Current V3 genotyping algorithms are inadequate for predicting X4 co-receptor usage in clinical isolates.
about
Prediction of co-receptor usage of HIV-1 from genotypeClinical significance of HIV-1 coreceptor usage.Bioinformatic analysis of HIV-1 entry and pathogenesis.IDEPI: rapid prediction of HIV-1 antibody epitopes and other phenotypic features from sequence data using a flexible machine learning platformPhylogenetic analysis consistent with a clinical history of sexual transmission of HIV-1 from a single donor reveals transmission of highly distinct variants.Position-specific automated processing of V3 env ultra-deep pyrosequencing data for predicting HIV-1 tropismQuantitative deep sequencing reveals dynamic HIV-1 escape and large population shifts during CCR5 antagonist therapy in vivo.Bioinformatic prediction programs underestimate the frequency of CXCR4 usage by R5X4 HIV type 1 in brain and other tissuesAccurate and efficient gp120 V3 loop structure based models for the determination of HIV-1 co-receptor usage.Structure of HIV-1 quasi-species as early indicator for switches of co-receptor tropism.Tropism testing in the clinical management of HIV-1 infection.Genotypic tropism testing by massively parallel sequencing: qualitative and quantitative analysis.Detection of inferred CCR5- and CXCR4-using HIV-1 variants and evolutionary intermediates using ultra-deep pyrosequencing.Comparative determination of HIV-1 co-receptor tropism by Enhanced Sensitivity Trofile, gp120 V3-loop RNA and DNA genotypingClustering of HIV-1 Subtypes Based on gp120 V3 Loop electrostatic propertiesLow frequency of CXCR4-using viruses in patients at the time of primary non-subtype-B HIV-1 infectionCo-receptor usage and prediction of V3 genotyping algorithms in HIV-1 subtype B' from paid blood donors experienced anti-retroviral therapy in Chinese central province.The role of genetic variants of Stromal cell-Derived Factor 1 in pediatric HIV-1 infection and disease progression.Extreme genetic divergence is required for coreceptor switching in HIV-1 subtype C.TROCAI (tropism coreceptor assay information): a new phenotypic tropism test and its correlation with Trofile enhanced sensitivity and genotypic approachesUse of four next-generation sequencing platforms to determine HIV-1 coreceptor tropism.Performance of genotypic algorithms for predicting HIV-1 tropism measured against the enhanced-sensitivity Trofile coreceptor tropism assay.A case-based reasoning system for genotypic prediction of HIV-1 co-receptor tropism.A diagnostic HIV-1 tropism system based on sequence relatedness.Concordance between two phenotypic assays and ultradeep pyrosequencing for determining HIV-1 tropism.Persistence and emergence of X4 virus in HIV infection.Virological response after short-term CCR5 antagonist exposure in HIV-infected patients: frequency of subjects with virological response and associated factors.Drug resistance and viral tropism in HIV-1 subtype C-infected patients in KwaZulu-Natal, South Africa: implications for future treatment optionsCorrelation of the virological response to short-term maraviroc monotherapy with standard and deep-sequencing-based genotypic tropism prediction methods.Drug resistance and coreceptor usage in HIV type 1 subtype C-infected children initiating or failing highly active antiretroviral therapy in South Africa.Relevance of early detection of HIV type 1 SI/CXCR4-using viruses in vertically infected childrenConcordance of HIV type 1 tropism phenotype to predictions using web-based analysis of V3 sequences: composite algorithms may be needed to properly assess viral tropismA novel denaturing heteroduplex tracking assay for genotypic prediction of HIV-1 tropism.Predicted HIV-1 coreceptor usage among Kenya patients shows a high tendency for subtype d to be cxcr4 tropic.Characterization of a dual-tropic human immunodeficiency virus (HIV-1) strain derived from the prototypical X4 isolate HXBc2.Immune-driven recombination and loss of control after HIV superinfection.HIV-1 drug resistance mutations: an updated framework for the second decade of HAARTProfile of HIV type 1 coreceptor tropism among Kenyan patients from 2009 to 2010Arginine insertion and loss of N-linked glycosylation site in HIV-1 envelope V3 region confer CXCR4-tropism.Deep Sequencing of the HIV-1 env Gene Reveals Discrete X4 Lineages and Linkage Disequilibrium between X4 and R5 Viruses in the V1/V2 and V3 Variable Regions.
P2860
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P2860
Current V3 genotyping algorithms are inadequate for predicting X4 co-receptor usage in clinical isolates.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
2007年學術文章
@zh-hant
name
Current V3 genotyping algorith ...... or usage in clinical isolates.
@en
Current V3 genotyping algorith ...... or usage in clinical isolates.
@nl
type
label
Current V3 genotyping algorith ...... or usage in clinical isolates.
@en
Current V3 genotyping algorith ...... or usage in clinical isolates.
@nl
prefLabel
Current V3 genotyping algorith ...... or usage in clinical isolates.
@en
Current V3 genotyping algorith ...... or usage in clinical isolates.
@nl
P2093
P50
P1433
P1476
Current V3 genotyping algorith ...... or usage in clinical isolates.
@en
P2093
Dennison Chan
Mark Jensen
P Richard Harrigan
Tobias Sing
Winnie Dong
P304
P356
10.1097/QAD.0B013E3282EF81EA
P407
P577
2007-09-01T00:00:00Z