Network-based characterization of drug-regulated genes, drug targets, and toxicity.
about
In silico prediction of physical protein interactions and characterization of interactome orphansFundamentals of protein interaction network mappingStructure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive reviewPrioritizing therapeutics for lung cancer: an integrative meta-analysis of cancer gene signatures and chemogenomic dataLarge Scale Chemical Cross-linking Mass Spectrometry Perspectives.Comparative analysis of genes frequently regulated by drugs based on connectivity map transcriptome data.A comprehensive map of the influenza A virus replication cycleAlternative RNA structure-coupled gene regulations in tumorigenesis.Biological networks: the microscope of the twenty-first century?Navigating traditional chinese medicine network pharmacology and computational tools.Characterization of proteins in S. cerevisiae with subcellular localizations.NetwoRx: connecting drugs to networks and phenotypes in Saccharomyces cerevisiae.Knowledge-guided gene prioritization reveals new insights into the mechanisms of chemoresistance.A study of the Immune Epitope Database for some fungi species using network topological indices.Drug target prioritization by perturbed gene expression and network information.Comparative analysis of housekeeping and tissue-selective genes in human based on network topologies and biological properties.Identification of drug-target interaction from interactome network with 'guilt-by-association' principle and topology features.Docking studies and network analyses reveal capacity of compounds from Kandelia rheedii to strengthen cellular immunity by interacting with host proteins during tuberculosis infection.Synergistic Synthetic Biology: Units in Concert.A Network-Based Integrative Workflow to Unravel Mechanisms Underlying Disease Progression.Construction and analysis of gene-gene dynamics influence networks based on a Boolean model.In silico cancer research towards 3R.Regulatory feedback loops bridge the human gene regulatory network and regulate carcinogenesis.Systematic interrogation of diverse Omic data reveals interpretable, robust, and generalizable transcriptomic features of clinically successful therapeutic targets.A side-effect free method for identifying cancer drug targets.Network, Transcriptomic and Genomic Features Differentiate Genes Relevant for Drug ResponseMachine Learning Based Toxicity Prediction: From Chemical Structural Description to Transcriptome AnalysisMachine Learning for In Silico Modeling of Tumor Growth
P2860
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P2860
Network-based characterization of drug-regulated genes, drug targets, and toxicity.
description
2012 nî lūn-bûn
@nan
2012 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի օգոստոսին 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
Network-based characterization of drug-regulated genes, drug targets, and toxicity.
@ast
Network-based characterization of drug-regulated genes, drug targets, and toxicity.
@en
Network-based characterization of drug-regulated genes, drug targets, and toxicity.
@nl
type
label
Network-based characterization of drug-regulated genes, drug targets, and toxicity.
@ast
Network-based characterization of drug-regulated genes, drug targets, and toxicity.
@en
Network-based characterization of drug-regulated genes, drug targets, and toxicity.
@nl
prefLabel
Network-based characterization of drug-regulated genes, drug targets, and toxicity.
@ast
Network-based characterization of drug-regulated genes, drug targets, and toxicity.
@en
Network-based characterization of drug-regulated genes, drug targets, and toxicity.
@nl
P2093
P1433
P1476
Network-based characterization of drug-regulated genes, drug targets, and toxicity.
@en
P2093
P304
P356
10.1016/J.YMETH.2012.06.003
P577
2012-08-01T00:00:00Z