Insights into the organization of biochemical regulatory networks using graph theory analyses.
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Towards a unifying, systems biology understanding of large-scale cellular death and destruction caused by poorly liganded iron: Parkinson's, Huntington's, Alzheimer's, prions, bactericides, chemical toxicology and others as examplesBeyond modules and hubs: the potential of gene coexpression networks for investigating molecular mechanisms of complex brain disordersSpeed-Dependent Modulation of the Locomotor Behavior in Adult Mice Reveals Attractor and Transitional GaitsReconstruction and Application of Protein-Protein Interaction NetworkNetwork reconstruction based on proteomic data and prior knowledge of protein connectivity using graph theoryMolecular architecture of the chick vestibular hair bundleNetwork analysis of the focal adhesion to invadopodia transition identifies a PI3K-PKCα invasive signaling axisUsing biological pathway data with paxtools.Cross-talk and information transfer in mammalian and bacterial signaling.SNAVI: Desktop application for analysis and visualization of large-scale signaling networksLists2Networks: integrated analysis of gene/protein lists.Defining the antigen receptor-dependent regulatory network that induces arrest of cycling immature B-lymphocytes.Inferring cell cycle feedback regulation from gene expression data.Elementary signaling modes predict the essentiality of signal transduction network components.Computational identification of phospho-tyrosine sub-networks related to acanthocyte generation in neuroacanthocytosisToward a complete in silico, multi-layered embryonic stem cell regulatory network.Proteomic analysis of human plasma in chronic rheumatic mitral stenosis reveals proteins involved in the complement and coagulation cascadeTowards a dynamical network view of brain ischemia and reperfusion. Part IV: additional considerations.Transcription factor and microRNA-regulated network motifs for cancer and signal transduction networks.Networked-based characterization of extracellular matrix proteins from adult mouse pulmonary and aortic valves.Modelling the molecular mechanisms of synaptic plasticity using systems biology approachesQuantification of spatial parameters in 3D cellular constructs using graph theory.Toward stem cell systems biology: from molecules to networks and landscapes.MicroRNAs--regulators of signaling networks in dilated cardiomyopathy.Mathematical modeling: bridging the gap between concept and realization in synthetic biologyPractical application of toxicogenomics for profiling toxicant-induced biological perturbations.Temporal phases of long-term potentiation (LTP): myth or fact?Protein kinase target discovery from genome-wide messenger RNA expression profiling.In silico method for identification of promising anticancer drug targets.Weighting schemes in metabolic graphs for identifying biochemical routes.An approach to investigate intracellular protein network responses.Emergence of robustness against noise: A structural phase transition in evolved models of gene regulatory networks.Persistent activation of interlinked type 2 airway epithelial gene networks in sputum-derived cells from aeroallergen-sensitized symptomatic asthmatics.Computational systems biology and dose-response modeling in relation to new directions in toxicity testing.Age- and speed-dependent modulation of gaits in DSCAM2J mutant mice.Inferring the Sign of Kinase-Substrate Interactions by Combining Quantitative Phosphoproteomics with a Literature-Based Mammalian Kinome Network
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P2860
Insights into the organization of biochemical regulatory networks using graph theory analyses.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 20 October 2008
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Insights into the organization ...... s using graph theory analyses.
@en
Insights into the organization ...... s using graph theory analyses.
@nl
type
label
Insights into the organization ...... s using graph theory analyses.
@en
Insights into the organization ...... s using graph theory analyses.
@nl
prefLabel
Insights into the organization ...... s using graph theory analyses.
@en
Insights into the organization ...... s using graph theory analyses.
@nl
P2860
P356
P1476
Insights into the organization ...... s using graph theory analyses.
@en
P2860
P304
P356
10.1074/JBC.R800056200
P407
P50
P577
2008-10-20T00:00:00Z