Identification of common biological pathways and drug targets across multiple respiratory viruses based on human host gene expression analysis
about
Compounds with anti-influenza activity: present and future of strategies for the optimal treatment and management of influenza. Part II: Future compounds against influenza virusIdentification of multipath genes differentially expressed in pathway-targeted microarrays in zebrafish infected and surviving spring viremia carp virus (SVCV) suggest preventive drug candidatesHost response to respiratory bacterial pathogens as identified by integrated analysis of human gene expression dataPathway analysis for drug repositioning based on public database miningParkin-Ubiquitin Proteasomal System pathwayNewer influenza antivirals, biotherapeutics and combinations.Advances in antivirals for non-influenza respiratory virus infections.Whole blood gene expression profiles to assess pathogenesis and disease severity in infants with respiratory syncytial virus infection.DT-Web: a web-based application for drug-target interaction and drug combination prediction through domain-tuned network-based inference.Superiority of transcriptional profiling over procalcitonin for distinguishing bacterial from viral lower respiratory tract infections in hospitalized adults.IPAD: the Integrated Pathway Analysis Database for Systematic Enrichment Analysis.MIMO: an efficient tool for molecular interaction maps overlapDifferential expression of viral agents in lymphoma tissues of patients with ABC diffuse large B-cell lymphoma from high and low endemic infectious disease regionsIntegrative nanomedicine: treating cancer with nanoscale natural products.Systems biology unravels interferon responses to respiratory virus infections.A Cross-Study Biomarker Signature of Human Bronchial Epithelial Cells Infected with Respiratory Syncytial Virus.Atomic force microscopic investigation of respiratory syncytial virus infection in HEp-2 cells.Apoptosis, Toll-like, RIG-I-like and NOD-like Receptors Are Pathways Jointly Induced by Diverse Respiratory Bacterial and Viral Pathogens.DDR: Efficient computational method to predict drug-target interactions using graph mining and machine learning approaches.Meta-analysis of human gene expression in response to Mycobacterium tuberculosis infection reveals potential therapeutic targets.
P2860
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P2860
Identification of common biological pathways and drug targets across multiple respiratory viruses based on human host gene expression analysis
description
2012 nî lūn-bûn
@nan
2012 թուականին հրատարակուած գիտական յօդուած
@hyw
2012 թվականին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Identification of common biolo ...... host gene expression analysis
@ast
Identification of common biolo ...... host gene expression analysis
@en
Identification of common biolo ...... host gene expression analysis
@nl
type
label
Identification of common biolo ...... host gene expression analysis
@ast
Identification of common biolo ...... host gene expression analysis
@en
Identification of common biolo ...... host gene expression analysis
@nl
prefLabel
Identification of common biolo ...... host gene expression analysis
@ast
Identification of common biolo ...... host gene expression analysis
@en
Identification of common biolo ...... host gene expression analysis
@nl
P2093
P2860
P3181
P1433
P1476
Identification of common biolo ...... host gene expression analysis
@en
P2093
Aydin Tozeren
James R Brown
Michal Magid-Slav
William Dampier
P2860
P304
P3181
P356
10.1371/JOURNAL.PONE.0033174
P407
P577
2012-01-01T00:00:00Z