Global network analysis of phenotypic effects: protein networks and toxicity modulation in Saccharomyces cerevisiae.
about
targetTB: a target identification pipeline for Mycobacterium tuberculosis through an interactome, reactome and genome-scale structural analysisToward an understanding of the protein interaction network of the human liverHuman ABH3 structure and key residues for oxidative demethylation to reverse DNA/RNA damageBeyond picomolar affinities: quantitative aspects of noncovalent and covalent binding of drugs to proteinsGlobal topological features of cancer proteins in the human interactomeIdentification and characterization of potential therapeutic candidates in emerging human pathogen Mycobacterium abscessus: a novel hierarchical in silico approachAnalysis of gene expression using gene sets discriminates cancer patients with and without late radiation toxicityA genome-wide deletion mutant screen identifies pathways affected by nickel sulfate in Saccharomyces cerevisiaeA principal components method constrained by elementary flux modes: analysis of flux data sets.Predicting essential components of signal transduction networks: a dynamic model of guard cell abscisic acid signaling.Evaluation of clustering algorithms for protein-protein interaction networks.Protein damage by reactive electrophiles: targets and consequencesThe effects of protein interactions, gene essentiality and regulatory regions on expression variation.Systems based mapping demonstrates that recovery from alkylation damage requires DNA repair, RNA processing, and translation associated networks.The prediction of protein-protein interaction networks in rice blast fungus.Bridging high-throughput genetic and transcriptional data reveals cellular responses to alpha-synuclein toxicity.A network-based integrative approach to prioritize reliable hits from multiple genome-wide RNAi screens in Drosophila.Integrating proteomic, transcriptional, and interactome data reveals hidden components of signaling and regulatory networks.Reconstruct modular phenotype-specific gene networks by knowledge-driven matrix factorizationProtein complex prediction based on k-connected subgraphs in protein interaction network.Identifying Tmem59 related gene regulatory network of mouse neural stem cell from a compendium of expression profilesConstruction and analysis of an integrated regulatory network derived from high-throughput sequencing data.Merging experimental data and in silico analysis: a systems-level approach to autoimmune disease and cancer.Exploiting protein-protein interaction networks for genome-wide disease-gene prioritizationAlkylation sensitivity screens reveal a conserved cross-species functionome.Modeling and characterization of disease associated subnetworks in the human interactome using machine learning.Novel insights in the use of hydrolytic enzymes secreted by fungi with biotechnological potential.A predicted functional gene network for the plant pathogen Phytophthora infestans as a framework for genomic biologyGenome-wide single-cell-level screen for protein abundance and localization changes in response to DNA damage in S. cerevisiae.Identification of novel elements of the Drosophila blisterome sheds light on potential pathological mechanisms of several human diseases.From protein networks to biological systems.Metabolic engineering in the -omics era: elucidating and modulating regulatory networks.Interactome-transcriptome analysis reveals the high centrality of genes differentially expressed in lung cancer tissues.Detection of locally over-represented GO terms in protein-protein interaction networks.Methylating agents and DNA repair responses: Methylated bases and sources of strand breaks.Genomic predictors of interindividual differences in response to DNA damaging agentsProtein networks in disease.Global analysis of protein damage by the lipid electrophile 4-hydroxy-2-nonenalToward accurate reconstruction of functional protein networksGenomic approaches for investigating mechanisms of genotoxicity.
P2860
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P2860
Global network analysis of phenotypic effects: protein networks and toxicity modulation in Saccharomyces cerevisiae.
description
2004 nî lūn-bûn
@nan
2004 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
Global network analysis of phe ...... n in Saccharomyces cerevisiae.
@ast
Global network analysis of phe ...... n in Saccharomyces cerevisiae.
@en
Global network analysis of phe ...... n in Saccharomyces cerevisiae.
@nl
type
label
Global network analysis of phe ...... n in Saccharomyces cerevisiae.
@ast
Global network analysis of phe ...... n in Saccharomyces cerevisiae.
@en
Global network analysis of phe ...... n in Saccharomyces cerevisiae.
@nl
prefLabel
Global network analysis of phe ...... n in Saccharomyces cerevisiae.
@ast
Global network analysis of phe ...... n in Saccharomyces cerevisiae.
@en
Global network analysis of phe ...... n in Saccharomyces cerevisiae.
@nl
P2093
P2860
P356
P1476
Global network analysis of phe ...... n in Saccharomyces cerevisiae.
@en
P2093
Leona D Samson
Maya R Said
Thomas J Begley
P2860
P304
18006-18011
P356
10.1073/PNAS.0405996101
P407
P577
2004-12-17T00:00:00Z