Regulatory and metabolic networks

Module Decomposition and Integration Optimizes Gene Regulatory and Metabolic Networks

Major objectives of systems biology are to build molecular interaction networks and to predict or understand their dynamics at the molecular interaction level. Mathematical simulation plays an important role. A problem is how to determine the values of many kinetic parameters for mathematical models. An increase in the size of networks makes the optimization problems difficult. To circumvent th...

Dynamic Analysis of Integrated Signaling, Metabolic, and Regulatory Networks

Extracellular cues affect signaling, metabolic, and regulatory processes to elicit cellular responses. Although intracellular signaling, metabolic, and regulatory networks are highly integrated, previous analyses have largely focused on independent processes (e.g., metabolism) without considering the interplay that exists among them. However, there is evidence that many diseases arise from mult...

Systems Biology of Metabolic Networks: Uncovering Regulatory and Stoichiometric Principles

Topological analysis of metabolic and regulatory networks by decomposition methods

unsere Resultate. Anhand der T-Zell-Antigen-Rezeptor-Signalkaskade zeigen wir, wie die Methoden in realen Systemen angewendet werden können. Summary The living organisms are too complex when considering them as a whole. The present thesis deals with the topological properties of two important parts of living organisms: the metabolic and the regulatory systems. The topological properties are tho...

Estimating Hidden Influences in Metabolic and Gene Regulatory Networks

We address the applicability of blind source separation (BSS) methods for the estimation of hidden influences in biological dynamic systems such as metabolic or gene regulatory networks. In simple processes obeying mass action kinetics, we find the emergence of linear mixture models. More complex situations as well as hidden influences in regulatory systems with sigmoidal input functions howeve...