Systems biology: experimental design.

Bayesian experimental design for systems biology: reproduce results

We present details about how the functions provided in pauwels2014 can be used to reproduce the results presented in [1]. We also describe how the system, model specifications and experimental settings were represented. The goal is to provide one with the capacity to reproduce research results to potentially adapt the method to other settings.

Prediction and Optimal Experimental Design in Systems Biology Models

Simulation Methods for Optimal Experimental Design in Systems Biology

To obtain a systems-level understanding of a biological system, the authors conducted quantitative dynamic experiments from which the system structure and the parameters have to be deduced. Since biological systems have to cope with different environmental conditions, certain properties are often robust with respect to variations in some of the parameters. Hence, it is important to use optimal ...

Design and performance of muscular systems: an overview.

The Physics behind Systems Biology

Systems Biology is a young and rapidly evolving research field, which combines experimental techniques andmathematical modeling in order to achieve a mechanistic understanding of processes underlying the regulation and evolution of living systems. Systems Biology is often associated with an Engineering approach: The purpose is to formulate a data-rich, detailed simulation model that allows to p...

Experimental Design in Systems Biology, Based on Parameter Sensitivity Analysis Using a Monte Carlo Method: A Case Study for the TNFα-Mediated NF-κB Signal Transduction Pathway

Mathematical modeling and dynamic simulation of signal transduction pathways is a central theme in systems biology and is increasingly attracting attention in the postgenomic era. The estimation of model parameters from experimental data remains a bottleneck for a major breakthrough in this area. This study’s aim is to introduce a new strategy for experimental design based on parameter sensitiv...