Quantifying robustness and dissipation cost of yeast cell cycle network: the funneled energy landscape perspectives
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Floral morphogenesis: stochastic explorations of a gene network epigenetic landscapeModeling the epigenetic attractors landscape: toward a post-genomic mechanistic understanding of developmentSystematic search for recipes to generate induced pluripotent stem cellsPotential energy landscape and robustness of a gene regulatory network: toggle switch.Potential landscape and probabilistic flux of a predator prey network.Recipes and mechanisms of cellular reprogramming: a case study on budding yeast Saccharomyces cerevisiae.Potential and flux landscapes quantify the stability and robustness of budding yeast cell cycle networkLandscape and flux reveal a new global view and physical quantification of mammalian cell cycleLandscape, flux, correlation, resonance, coherence, stability, and key network wirings of stochastic circadian oscillation.Intrinsic noise, dissipation cost, and robustness of cellular networks: the underlying energy landscape of MAPK signal transductionPotential landscape and flux framework of nonequilibrium networks: robustness, dissipation, and coherence of biochemical oscillations.Robustness, dissipations and coherence of the oscillation of circadian clock: potential landscape and flux perspectives.Systems level modeling of the cell cycle using budding yeast.Stochastic dynamics and non-equilibrium thermodynamics of a bistable chemical system: the Schlögl model revisitedComputational systems biology of the cell cycle.Robustness and coherence of a three-protein circadian oscillator: landscape and flux perspectives.The chemical master equation approach to nonequilibrium steady-state of open biochemical systems: linear single-molecule enzyme kinetics and nonlinear biochemical reaction networks.Robustness of integrin signaling network.Attractor landscape analysis reveals feedback loops in the p53 network that control the cellular response to DNA damage.Communications: Hamiltonian regulated cell signaling network.The potential and flux landscape theory of ecology.Funneled potential and flux landscapes dictate the stabilities of both the states and the flow: Fission yeast cell cycle.Therapeutic hints from analyzing the attractor landscape of the p53 regulatory circuit.Potential flux landscapes determine the global stability of a Lorenz chaotic attractor under intrinsic fluctuations.The energy pump and the origin of the non-equilibrium flux of the dynamical systems and the networks.Robustness and topology of the yeast cell cycle Boolean network.Exact probabilistic solution of spatial-dependent stochastics and associated spatial potential landscape for the bicoid protein.Least dissipation cost as a design principle for robustness and function of cellular networks.ATLANTIS - Attractor Landscape Analysis Toolbox for Cell Fate Discovery and Reprogramming.Landscape and flux theory of non-equilibrium dynamical systems with application to biologyDetermining Relative Dynamic Stability of Cell States Using Boolean Network Model
P2860
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P2860
Quantifying robustness and dissipation cost of yeast cell cycle network: the funneled energy landscape perspectives
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Quantifying robustness and dis ...... energy landscape perspectives
@ast
Quantifying robustness and dis ...... energy landscape perspectives
@en
type
label
Quantifying robustness and dis ...... energy landscape perspectives
@ast
Quantifying robustness and dis ...... energy landscape perspectives
@en
prefLabel
Quantifying robustness and dis ...... energy landscape perspectives
@ast
Quantifying robustness and dis ...... energy landscape perspectives
@en
P2860
P1433
P1476
Quantifying robustness and dis ...... energy landscape perspectives
@en
P2860
P304
P356
10.1529/BIOPHYSJ.106.094821
P407
P577
2007-03-09T00:00:00Z