We uncovered the underlying energy landscape for a cellular network. We discovered that the energy landscape of the yeast cell-cycle network is funneled towards the global minimum (G0/G1 phase) from the experimentally measured or inferred inherent chemical reaction rates. The funneled landscape is quite robust against random perturbations. This naturally explains robustness from a physical point of view. The ratio of slope versus roughness of the landscape becomes a quantitative measure of robustness of the network. The funneled landscape can be seen as a possible realization of the Darwinian principle of natural selection at the cellular network level. It provides an optimal criterion for network connections and design. Our approach is gen...
Attribution of biological robustness to the specific structural properties of a regulatory network i...
<div><p>The topology of cellular circuits (the who-interacts-with-whom) is key to understand their r...
The relationship between structure, function and regulation in complex cellular networks is a still ...
AbstractWe study the origin of robustness of yeast cell cycle cellular network through uncovering it...
We uncover the underlying potential energy landscape for a cellular network. We find that the potent...
Using fission yeast cell cycle as an example, we uncovered that the non-equilibrium network dynamics...
Studying the cell cycle process is crucial for understanding cell growth, proliferation, development...
Metabolic networks have gained broad attention in recent years as a result of their important roles ...
We uncovered the underlying energy landscape of the mitogen-activated protein kinases signal transdu...
A common gene regulatory network model is the threshold Boolean network, used for example to model t...
AbstractYeast cell cycle Boolean network was used as a case study of robustness to protein noise. Ro...
We develop a general method to explore how the function performed by a biological network can constr...
This article has been retracted: please see Elsevier Policy on Article Withdrawal (http://www.elsevi...
Attribution of biological robustness to the specific structural properties of a regulatory network i...
Finding a multidimensional potential landscape is the key for addressing important global issues, su...
Attribution of biological robustness to the specific structural properties of a regulatory network i...
<div><p>The topology of cellular circuits (the who-interacts-with-whom) is key to understand their r...
The relationship between structure, function and regulation in complex cellular networks is a still ...
AbstractWe study the origin of robustness of yeast cell cycle cellular network through uncovering it...
We uncover the underlying potential energy landscape for a cellular network. We find that the potent...
Using fission yeast cell cycle as an example, we uncovered that the non-equilibrium network dynamics...
Studying the cell cycle process is crucial for understanding cell growth, proliferation, development...
Metabolic networks have gained broad attention in recent years as a result of their important roles ...
We uncovered the underlying energy landscape of the mitogen-activated protein kinases signal transdu...
A common gene regulatory network model is the threshold Boolean network, used for example to model t...
AbstractYeast cell cycle Boolean network was used as a case study of robustness to protein noise. Ro...
We develop a general method to explore how the function performed by a biological network can constr...
This article has been retracted: please see Elsevier Policy on Article Withdrawal (http://www.elsevi...
Attribution of biological robustness to the specific structural properties of a regulatory network i...
Finding a multidimensional potential landscape is the key for addressing important global issues, su...
Attribution of biological robustness to the specific structural properties of a regulatory network i...
<div><p>The topology of cellular circuits (the who-interacts-with-whom) is key to understand their r...
The relationship between structure, function and regulation in complex cellular networks is a still ...