Patterns of HIV-1 protein interaction identify perturbed host-cellular subsystems
about
An integrated approach to elucidate the intra-viral and viral-cellular protein interaction networks of a gamma-herpesvirusThe Road Less Traveled: HIV's Use of Alternative Routes through Cellular PathwaysA viral-human interactome based on structural motif-domain interactions captures the human infectomeTowards semi-automated curation: using text mining to recreate the HIV-1, human protein interaction database.A novel biclustering approach to association rule mining for predicting HIV-1-human protein interactions.BiC2PAM: constraint-guided biclustering for biological data analysis with domain knowledge.The Influence of HIV on the Evolution of Mycobacterium tuberculosis.Sequence- and interactome-based prediction of viral protein hotspots targeting host proteins: a case study for HIV Nef.GPS-Prot: a web-based visualization platform for integrating host-pathogen interaction data.Network-based prediction and analysis of HIV dependency factorsExpression analysis of LEDGF/p75, APOBEC3G, TRIM5alpha, and tetherin in a Senegalese cohort of HIV-1-exposed seronegative individuals.A meta-analysis reveals the commonalities and differences in Arabidopsis thaliana response to different viral pathogensNucleolar protein trafficking in response to HIV-1 Tat: rewiring the nucleolusGenome-wide search for the genes accountable for the induced resistance to HIV-1 infection in activated CD4+ T cells: apparent transcriptional signatures, co-expression networks and possible cellular processesLimited agreement of independent RNAi screens for virus-required host genes owes more to false-negative than false-positive factors.Network-based study reveals potential infection pathways of hepatitis-C leading to various diseasesQuantitative proteomic analysis of HIV-1 infected CD4+ T cells reveals an early host response in important biological pathways: protein synthesis, cell proliferation, and T-cell activation.Toward a three-dimensional view of protein networks between species.Cataloging the biomedical world of pain through semi-automated curation of molecular interactions.BicNET: Flexible module discovery in large-scale biological networks using biclusteringHigh-throughput RNA interference screens integrative analysis: Towards a comprehensive understanding of the virus-host interplay.A review of in silico approaches for analysis and prediction of HIV-1-human protein-protein interactions.An integrative approach for a network based meta-analysis of viral RNAi screensInteractions of HIV-1 proteins as targets for developing anti-HIV-1 peptides.Role of TIM-4 in exosome-dependent entry of HIV-1 into human immune cells.Computational design of host transcription-factors sets whose misregulation mimics the transcriptomic effect of viral infectionsIncorporating the type and direction information in predicting novel regulatory interactions between HIV-1 and human proteins using a biclustering approach.Identifying the immunodeficiency gateway proteins in humans and their involvement in microRNA regulation.Bioinformatics Meets Virology: The European Virus Bioinformatics Center's Second Annual Meeting.Current trends in modeling host-pathogen interactions
P2860
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P2860
Patterns of HIV-1 protein interaction identify perturbed host-cellular subsystems
description
2010 nî lūn-bûn
@nan
2010 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հուլիսին 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
Patterns of HIV-1 protein interaction identify perturbed host-cellular subsystems
@ast
Patterns of HIV-1 protein interaction identify perturbed host-cellular subsystems
@en
type
label
Patterns of HIV-1 protein interaction identify perturbed host-cellular subsystems
@ast
Patterns of HIV-1 protein interaction identify perturbed host-cellular subsystems
@en
prefLabel
Patterns of HIV-1 protein interaction identify perturbed host-cellular subsystems
@ast
Patterns of HIV-1 protein interaction identify perturbed host-cellular subsystems
@en
P2093
P2860
P1476
Patterns of HIV-1 protein interaction identify perturbed host-cellular subsystems
@en
P2093
David L Robertson
Jamie I MacPherson
John W Pinney
Jonathan E Dickerson
P2860
P304
P356
10.1371/JOURNAL.PCBI.1000863
P577
2010-07-29T00:00:00Z