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Hybrid approach for predicting coreceptor used by HIV-1 from its V3 loop amino acid sequenceImproved Bevirimat resistance prediction by combination of structural and sequence-based classifiersBioinformatic analysis of HIV-1 entry and pathogenesis.Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classificationAnalysis 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 platformParameters Influencing Baseline HIV-1 Genotypic Tropism Testing Related to Clinical Outcome in Patients on MaravirocImproving HIV coreceptor usage prediction in the clinic using hints from next-generation sequencing data.HIV-1 tropism dynamics and phylogenetic analysis from longitudinal ultra-deep sequencing data of CCR5- and CXCR4-using variants.Structure of HIV-1 quasi-species as early indicator for switches of co-receptor tropism.Machine learning on normalized protein sequences.Determination of viral tropism by genotyping and phenotyping assays in Brazilian HIV-1-infected patients.Clustering of HIV-1 Subtypes Based on gp120 V3 Loop electrostatic propertiesData mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle?An expanded model of HIV cell entry phenotype based on multi-parameter single-cell data.A small set of succinct signature patterns distinguishes Chinese and non-Chinese HIV-1 genomes.A case-based reasoning system for genotypic prediction of HIV-1 co-receptor tropism.Effect of lysine to arginine mutagenesis in the V3 loop of HIV-1 gp120 on viral entry efficiency and neutralization.SeqFeatR for the Discovery of Feature-Sequence AssociationsHighly Accurate Structure-Based Prediction of HIV-1 Coreceptor Usage Suggests Intermolecular Interactions Driving TropismSHIVA - a web application for drug resistance and tropism testing in HIV.HIV coreceptor tropism determination and mutational pattern identification.Genotypic Prediction of Co-receptor Tropism of HIV-1 Subtypes A and CHIV-1 tropism testing and clinical management of CCR5 antagonists: Quebec review and recommendations.Computational Design of a DNA- and Fc-Binding Fusion Protein.Factors Associated with HIV Testing Among Participants from Substance Use Disorder Treatment Programs in the US: A Machine Learning Approach.Interpol: An R package for preprocessing of protein sequencesA simple structure-based model for the prediction of HIV-1 co-receptor tropism.Structural dynamics of V3 loop with different electrostatics: implications on co-receptor recognition: a molecular dynamics study of HIV gp120
P2860
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P2860
description
2010 nî lūn-bûn
@nan
2010 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Prediction of co-receptor usage of HIV-1 from genotype
@ast
Prediction of co-receptor usage of HIV-1 from genotype
@en
Prediction of co-receptor usage of HIV-1 from genotype
@en-gb
Prediction of co-receptor usage of HIV-1 from genotype
@nl
type
label
Prediction of co-receptor usage of HIV-1 from genotype
@ast
Prediction of co-receptor usage of HIV-1 from genotype
@en
Prediction of co-receptor usage of HIV-1 from genotype
@en-gb
Prediction of co-receptor usage of HIV-1 from genotype
@nl
prefLabel
Prediction of co-receptor usage of HIV-1 from genotype
@ast
Prediction of co-receptor usage of HIV-1 from genotype
@en
Prediction of co-receptor usage of HIV-1 from genotype
@en-gb
Prediction of co-receptor usage of HIV-1 from genotype
@nl
P2860
P3181
P1476
Prediction of co-receptor usage of HIV-1 from genotype
@en
P2093
J Nikolaj Dybowski
P2860
P304
P3181
P356
10.1371/JOURNAL.PCBI.1000743
P407
P577
2010-04-01T00:00:00Z