Biological systems have evolved complex regulatory mechanisms, even in situations where much simpler designs seem to be sufficient for generating nominal functionality. Using module-based analysis coupled with rigorous mathematical comparisons, we propose that in analogy to control engineering architectures, the complexity of cellular systems and the presence of hierarchical modular structures can be attributed to the necessity of achieving robustness. We employ the Escherichia coli heat shock response system, a strongly conserved cellular mechanism, as an example to explore the design principles of such modular architectures. In the heat shock response system, the sigma-factor r32 is a central regulator that integrates multiple feedforward...
To understand how bacteria adapt to hostile environments we need to understand the complex networks ...
Living organisms employ endogenous negative feedback loops to maintain homeostasis despite environme...
The complexity inherent in gene regulatory network models, as well as their nonlinear nature make th...
Biological systems have evolved complex regulatory mechanisms, even in situations where much simpler...
Biological systems have evolved complex regulatory mechanisms, even in situations where much simpler...
Biological control systems often contain a wide variety of feedforward and feedback mechanisms that ...
Molecular biology studies the cause-and-effect relationships among microscopic processes initiated b...
Systems Biology is an emerging new field defined as the study of biology as an integrated system of ...
Survival of organisms in extreme conditions has necessitated the evolution of stress response networ...
AbstractCellular events that execute life programs are ordered and reproducible, despite the noise a...
This paper adds to the philosophical literature on mechanistic explanation by elaborating two relate...
A core pursuit in systems and synthetic biology is the analysis of the connection between the low-le...
Living systems must adapt quickly and stably to uncertain environments. A common theme in cellular r...
AbstractLiving systems must adapt quickly and stably to uncertain environments. A common theme in ce...
The complexity inherent in gene regulatory network models, as well as their nonlinear nature make th...
To understand how bacteria adapt to hostile environments we need to understand the complex networks ...
Living organisms employ endogenous negative feedback loops to maintain homeostasis despite environme...
The complexity inherent in gene regulatory network models, as well as their nonlinear nature make th...
Biological systems have evolved complex regulatory mechanisms, even in situations where much simpler...
Biological systems have evolved complex regulatory mechanisms, even in situations where much simpler...
Biological control systems often contain a wide variety of feedforward and feedback mechanisms that ...
Molecular biology studies the cause-and-effect relationships among microscopic processes initiated b...
Systems Biology is an emerging new field defined as the study of biology as an integrated system of ...
Survival of organisms in extreme conditions has necessitated the evolution of stress response networ...
AbstractCellular events that execute life programs are ordered and reproducible, despite the noise a...
This paper adds to the philosophical literature on mechanistic explanation by elaborating two relate...
A core pursuit in systems and synthetic biology is the analysis of the connection between the low-le...
Living systems must adapt quickly and stably to uncertain environments. A common theme in cellular r...
AbstractLiving systems must adapt quickly and stably to uncertain environments. A common theme in ce...
The complexity inherent in gene regulatory network models, as well as their nonlinear nature make th...
To understand how bacteria adapt to hostile environments we need to understand the complex networks ...
Living organisms employ endogenous negative feedback loops to maintain homeostasis despite environme...
The complexity inherent in gene regulatory network models, as well as their nonlinear nature make th...