Improved success of phenotype prediction of the human immunodeficiency virus type 1 from envelope variable loop 3 sequence using neural networks.
about
Prediction of co-receptor usage of HIV-1 from genotypeSevere anaemia is not associated with HIV-1 env gene characteristics in Malawian childrenPredicting Bevirimat resistance of HIV-1 from genotypeHybrid approach for predicting coreceptor used by HIV-1 from its V3 loop amino acid sequenceStructural Basis of the Cross-Reactivity of Genetically Related Human Anti-HIV-1 mAbs: Implications for Design of V3-Based ImmunogensRabbit Anti-HIV-1 Monoclonal Antibodies Raised by Immunization Can Mimic the Antigen-Binding Modes of Antibodies Derived from HIV-1-Infected HumansClinical significance of HIV-1 coreceptor usage.Bioinformatic analysis of HIV-1 entry and pathogenesis.Structural descriptors of gp120 V3 loop for the prediction of HIV-1 coreceptor usageAnalysis of physicochemical and structural properties determining HIV-1 coreceptor usageIDEPI: rapid prediction of HIV-1 antibody epitopes and other phenotypic features from sequence data using a flexible machine learning platformStructure of a V3-containing HIV-1 gp120 coreThe influence of N-linked glycans on the molecular dynamics of the HIV-1 gp120 V3 loop.Reliable genotypic tropism tests for the major HIV-1 subtypesCharacterizing the Diverse Mutational Pathways Associated with R5-Tropic Maraviroc Resistance: HIV-1 That Uses the Drug-Bound CCR5 Coreceptor.An evolutionary-network model reveals stratified interactions in the V3 loop of the HIV-1 envelope.V3 loop sequence space analysis suggests different evolutionary patterns of CCR5- and CXCR4-tropic HIV.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.Semen-specific genetic characteristics of human immunodeficiency virus type 1 env.Structure of HIV-1 quasi-species as early indicator for switches of co-receptor tropism.Frequent CXCR4 tropism of HIV-1 subtype A and CRF02_AG during late-stage disease--indication of an evolving epidemic in West AfricaEvolutionary and structural features of the C2, V3 and C3 envelope regions underlying the differences in HIV-1 and HIV-2 biology and infection.Predicting protein phenotypes based on protein-protein interaction network.Machine learning on normalized protein sequences.Tropism testing in the clinical management of HIV-1 infection.Human immunodeficiency virus type 1 variants isolated from single plasma samples display a wide spectrum of neutralization sensitivityComparative determination of HIV-1 co-receptor tropism by Enhanced Sensitivity Trofile, gp120 V3-loop RNA and DNA genotypingOrigin and epidemiological history of HIV-1 CRF14_BG.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.Human immunodeficiency virus type 1 coreceptor switching: V1/V2 gain-of-fitness mutations compensate for V3 loss-of-fitness mutations.HIV-1 subtype C envelope characteristics associated with divergent rates of chronic disease progressionAn expanded model of HIV cell entry phenotype based on multi-parameter single-cell data.Appraising the performance of genotyping tools in the prediction of coreceptor tropism in HIV-1 subtype C virusesA reliable phenotype predictor for human immunodeficiency virus type 1 subtype C based on envelope V3 sequences.Successful isolation of infectious and high titer human monocyte-derived HIV-1 from two subjects with discontinued therapyA case-based reasoning system for genotypic prediction of HIV-1 co-receptor tropism.Coreceptor usage and biological phenotypes of HIV-1 isolates.Molecular switch for alternative conformations of the HIV-1 V3 region: implications for phenotype conversion.V3-independent competitive resistance of a dual-X4 HIV-1 to the CXCR4 inhibitor AMD3100
P2860
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P2860
Improved success of phenotype prediction of the human immunodeficiency virus type 1 from envelope variable loop 3 sequence using neural networks.
description
2001 nî lūn-bûn
@nan
2001年の論文
@ja
2001年学术文章
@wuu
2001年学术文章
@zh-cn
2001年学术文章
@zh-hans
2001年学术文章
@zh-my
2001年学术文章
@zh-sg
2001年學術文章
@yue
2001年學術文章
@zh
2001年學術文章
@zh-hant
name
Improved success of phenotype ...... equence using neural networks.
@en
type
label
Improved success of phenotype ...... equence using neural networks.
@en
prefLabel
Improved success of phenotype ...... equence using neural networks.
@en
P2093
P356
P1433
P1476
Improved success of phenotype ...... equence using neural networks.
@en
P2093
P356
10.1006/VIRO.2001.1087
P407
P577
2001-09-01T00:00:00Z