Evaluation of eight different bioinformatics tools to predict viral tropism in different human immunodeficiency virus type 1 subtypes.
about
Prediction of co-receptor usage of HIV-1 from genotypeBioinformatic analysis of HIV-1 entry and pathogenesis.Defining the fitness of HIV-1 isolates with dual/mixed co-receptor usageReliable genotypic tropism tests for the major HIV-1 subtypesFrequent CXCR4 tropism of HIV-1 subtype A and CRF02_AG during late-stage disease--indication of an evolving epidemic in West AfricaTropism testing in the clinical management of HIV-1 infection.Genotypic tropism testing by massively parallel sequencing: qualitative and quantitative analysis.Switching of inferred tropism caused by HIV during interruption of antiretroviral therapy.Comparative determination of HIV-1 co-receptor tropism by Enhanced Sensitivity Trofile, gp120 V3-loop RNA and DNA genotypingEvaluation of the genotypic prediction of HIV-1 coreceptor use versus a phenotypic assay and correlation with the virological response to maraviroc: the ANRS GenoTropism study.Distinct molecular pathways to X4 tropism for a V3-truncated human immunodeficiency virus type 1 lead to differential coreceptor interactions and sensitivity to a CXCR4 antagonist.Low 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.Stochastic model of in-vivo X4 emergence during HIV infection: implications for the CCR5 inhibitor maraviroc.Appraising the performance of genotyping tools in the prediction of coreceptor tropism in HIV-1 subtype C virusesPerformance of genotypic algorithms for predicting HIV-1 tropism measured against the enhanced-sensitivity Trofile coreceptor tropism assay.HIV-1 tropism: a comparison between RNA and proviral DNA in routine clinical samples from Chilean patientsHigh prevalence of CXCR4 usage among treatment-naive CRF01_AE and CRF51_01B-infected HIV-1 subjects in Singapore.HIV-1 tropism determination using a phenotypic Env recombinant viral assay highlights overestimation of CXCR4-usage by genotypic prediction algorithms for CRF01_AE and CRF02_AG [corrected].A diagnostic HIV-1 tropism system based on sequence relatedness.Genotypic prediction of HIV-1 subtype D tropismCovariance of charged amino acids at positions 322 and 440 of HIV-1 Env contributes to coreceptor specificity of subtype B viruses, and can be used to improve the performance of V3 sequence-based coreceptor usage prediction algorithms.Longitudinal Analysis of Cerebrospinal Fluid and Plasma HIV-1 Envelope Sequences Isolated From a Single Donor with HIV Asymptomatic Neurocognitive Impairment.Drug resistance and coreceptor usage in HIV type 1 subtype C-infected children initiating or failing highly active antiretroviral therapy in South Africa.Genotypic Tropism Testing in HIV-1 Proviral DNA Can Provide Useful Information at Low-Level Viremia.The temporal increase in HIV-1 non-R5 tropism frequency among newly diagnosed patients from northern Poland is associated with clustered transmissions.Concordance of HIV type 1 tropism phenotype to predictions using web-based analysis of V3 sequences: composite algorithms may be needed to properly assess viral tropismGenotypic prediction of HIV-1 CRF01-AE tropism.CoRSeqV3-C: a novel HIV-1 subtype C specific V3 sequence based coreceptor usage prediction algorithmEnvelope gene evolution and HIV-1 neuropathogenesis.Profile of HIV type 1 coreceptor tropism among Kenyan patients from 2009 to 2010Deep 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.How HIV changes its tropism: evolution and adaptation?Genotypic prediction of human immunodeficiency virus type 1 CRF02-AG tropism.Comparative analysis of cell culture and prediction algorithms for phenotyping of genetically diverse HIV-1 strains from Cameroon.New developments in HIV drug resistance.High concordance between the position-specific scoring matrix and geno2pheno algorithms for genotypic interpretation of HIV-1 tropism: V3 length as the major cause of disagreementPerformance comparison of next-generation sequencing platforms for determining HIV-1 coreceptor usePrediction of coreceptor usage by five bioinformatics tools in a large Ethiopian HIV-1 subtype C cohort.Optimizing management of treatment-naïve and treatment-experienced HIV+ patients: the role of maraviroc.
P2860
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P2860
Evaluation of eight different bioinformatics tools to predict viral tropism in different human immunodeficiency virus type 1 subtypes.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh
2008年學術文章
@zh-hant
name
Evaluation of eight different ...... iciency virus type 1 subtypes.
@ast
Evaluation of eight different ...... iciency virus type 1 subtypes.
@en
type
label
Evaluation of eight different ...... iciency virus type 1 subtypes.
@ast
Evaluation of eight different ...... iciency virus type 1 subtypes.
@en
prefLabel
Evaluation of eight different ...... iciency virus type 1 subtypes.
@ast
Evaluation of eight different ...... iciency virus type 1 subtypes.
@en
P2093
P2860
P50
P356
P1476
Evaluation of eight different ...... iciency virus type 1 subtypes.
@en
P2093
Carmen de Mendoza
Carolina Garrido
Federico García
Jean Louis Faudon
Katharina Skrabal
Natalia Zahonero
Silvia Carlos
Vanessa Roulet
P2860
P304
P356
10.1128/JCM.01611-07
P407
P577
2008-01-16T00:00:00Z