Modeling system states in liver cells: survival, apoptosis and their modifications in response to viral infection
about
Genome scale modeling in systems biology: algorithms and resources.Simulating quantitative cellular responses using asynchronous threshold Boolean network ensembles.Angiogenic activity of breast cancer patients' monocytes reverted by combined use of systems modeling and experimental approachesDynamical systems approach to endothelial heterogeneity.True grit: programmed necrosis in antiviral host defense, inflammation, and immunogenicity.Logic-based models for the analysis of cell signaling networks.Logical network of genotoxic stress-induced NF-κB signal transduction predicts putative target structures for therapeutic intervention strategiesAnalyzing ERK 1/2 signalling and targets.Establishment of a human 3D lung cancer model based on a biological tissue matrix combined with a Boolean in silico model.A semi-quantitative model of Quorum-Sensing in Staphylococcus aureus, approved by microarray meta-analyses and tested by mutation studies.A Boolean view separates platelet activatory and inhibitory signalling as verified by phosphorylation monitoring including threshold behaviour and integrin modulation.Integrated systems view on networking by hormones in Arabidopsis immunity reveals multiple crosstalk for cytokinin.A qualitative continuous model of cellular auxin and brassinosteroid signaling and their crosstalk.A combined tissue engineered / in silico signature tool for patient stratification in lung cancer.Bioinformatics identifies tardigrade molecular adaptations including the DNA-j family and first steps towards dynamical modelling
P2860
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P2860
Modeling system states in liver cells: survival, apoptosis and their modifications in response to viral infection
description
2009 nî lūn-bûn
@nan
2009 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
name
Modeling system states in live ...... in response to viral infection
@ast
Modeling system states in live ...... in response to viral infection
@en
type
label
Modeling system states in live ...... in response to viral infection
@ast
Modeling system states in live ...... in response to viral infection
@en
prefLabel
Modeling system states in live ...... in response to viral infection
@ast
Modeling system states in live ...... in response to viral infection
@en
P2093
P2860
P356
P1433
P1476
Modeling system states in live ...... in response to viral infection
@en
P2093
Christoph Borner
Dorothee Walter
Jens Timmer
Karine Ferreira
Michael Ederer
Nicole Philippi
Oliver Sawodny
Rebekka Schlatter
P2860
P2888
P356
10.1186/1752-0509-3-97
P577
2009-09-22T00:00:00Z
P5875
P6179
1029130653