Computational analysis of dynamical responses to the intrinsic pathway of programmed cell death.
about
Cancer systems biology: a network modeling perspectiveControl of cell growth, division and death: information processing in living cellsS100A4 and its role in metastasis – computational integration of data on biological networks.Understanding dynamics using sensitivity analysis: caveat and solutionCommunicating oscillatory networks: frequency domain analysis.Dynamic modelling of oestrogen signalling and cell fate in breast cancer cellsA two-step mechanism for cell fate decision by coordination of nuclear and mitochondrial p53 activities.Computational modeling of apoptotic signaling pathways induced by cisplatinCrosstalks between cytokines and Sonic Hedgehog in Helicobacter pylori infection: a mathematical model.Dynamic Modeling of the Interaction Between Autophagy and Apoptosis in Mammalian Cells.A mathematical model of the unfolded protein stress response reveals the decision mechanism for recovery, adaptation and apoptosis.Modeling heterogeneous responsiveness of intrinsic apoptosis pathwayBayesian parameter inference by Markov chain Monte Carlo with hybrid fitness measures: theory and test in apoptosis signal transduction networkComputational cell fate modelling for discovery of rewiring in apoptotic network for enhanced cancer drug sensitivity.Regulation of the DNA damage response by p53 cofactorsComputational modeling of signaling pathways mediating cell cycle checkpoint control and apoptotic responses to ionizing radiation-induced DNA damage.Network systems biology for targeted cancer therapies.Modelling the effect of GRP78 on anti-oestrogen sensitivity and resistance in breast cancer.Functional motifs in biochemical reaction networks.Regulated protein kinases and phosphatases in cell cycle decisions.Unraveling cellular pathways contributing to drug-induced liver injury by dynamical modeling.The integrated stress response.A systems-based mathematical modelling framework for investigating the effect of drugs on solid tumours.A dynamical framework for complex fractional killing.Rigor of cell fate decision by variable p53 pulses and roles of cooperative gene expression by p53.Towards an integrated systems-based modelling framework for drug transport and its effect on tumour cells.Analysis of a mathematical model of apoptosis: individual differences and malfunction in programmed cell death.Bax, Bak and beyond - mitochondrial performance in apoptosis.A cellular stress-directed bistable switch controls the crosstalk between autophagy and apoptosis.Digital signaling network drives the assembly of the AIM2-ASC inflammasome.A plausible model for bimodal p53 switch in DNA damage response.Recent progress and open challenges in modeling p53 dynamics in single cells.
P2860
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P2860
Computational analysis of dynamical responses to the intrinsic pathway of programmed cell death.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on July 2009
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Computational analysis of dyna ...... hway of programmed cell death.
@en
Computational analysis of dyna ...... hway of programmed cell death.
@nl
type
label
Computational analysis of dyna ...... hway of programmed cell death.
@en
Computational analysis of dyna ...... hway of programmed cell death.
@nl
prefLabel
Computational analysis of dyna ...... hway of programmed cell death.
@en
Computational analysis of dyna ...... hway of programmed cell death.
@nl
P2860
P1433
P1476
Computational analysis of dyna ...... hway of programmed cell death.
@en
P2093
Paul Brazhnik
Tongli Zhang
P2860
P304
P356
10.1016/J.BPJ.2009.04.053
P407
P50
P577
2009-07-01T00:00:00Z