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 σ32 is a central regulator that integrates multiple feedforward...
Abstract: In this work, we study the optimality principles in the heat shock response, a cellular re...
Robustness, the ability to maintain performance in the face of perturbations and uncertainty, is a l...
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...
Survival of organisms in extreme conditions has necessitated the evolution of stress response networ...
Systems Biology is an emerging new field defined as the study of biology as an integrated system of ...
A core pursuit in systems and synthetic biology is the analysis of the connection between the low-le...
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...
AbstractRobustness, the ability to maintain performance in the face of perturbations and uncertainty...
The complexity inherent in gene regulatory network models, as well as their nonlinear nature make th...
Synthetic biology efforts have largely focused on small engineered gene networks, yet understanding ...
Abstract: In this work, we study the optimality principles in the heat shock response, a cellular re...
Robustness, the ability to maintain performance in the face of perturbations and uncertainty, is a l...
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...
Survival of organisms in extreme conditions has necessitated the evolution of stress response networ...
Systems Biology is an emerging new field defined as the study of biology as an integrated system of ...
A core pursuit in systems and synthetic biology is the analysis of the connection between the low-le...
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...
AbstractRobustness, the ability to maintain performance in the face of perturbations and uncertainty...
The complexity inherent in gene regulatory network models, as well as their nonlinear nature make th...
Synthetic biology efforts have largely focused on small engineered gene networks, yet understanding ...
Abstract: In this work, we study the optimality principles in the heat shock response, a cellular re...
Robustness, the ability to maintain performance in the face of perturbations and uncertainty, is a l...
The complexity inherent in gene regulatory network models, as well as their nonlinear nature make th...