Modeling of cellular processes: methods, data, and requirements

Abstract:

Systems biology is a comprehensive quantitative analysis how the components of a biological system interact over time which requires an interdisciplinary team of investigators. System-theoretic methods are applied to investigate the system's behavior. Using known information about the considered system, a conceptual model is defined. It is transferred in a mathematical model that can be simulated (analytically or numerically) and analyzed using system-theoretic tools. Finally, simulation results are compared with experimental data. However, assumptions, approximations, and requirements to available experimental data are crucial ingredients of this systems biology workflow. Consequently, the modeling of cellular processes creates special demands on the design of experiments: the quality, the amount, and the completeness of data. The relation between models and data is discussed in this chapter. Thereby, we focus on the requirements on experimental data from the perspective of systems biology projects.

SEEK ID: https://fairdomhub.org/publications/99

PubMed ID: 21063964

Projects: BaCell-SysMO, COSMIC

Publication type: Not specified

Journal: Methods Mol. Biol.

Citation:

Date Published: 11th Nov 2010

Registered Mode: Not specified

help Submitter
Activity

Views: 5191

Created: 20th Jan 2011 at 14:40

Last updated: 20th Jan 2011 at 14:40

help Tags
help Attributions

None

Powered by
(v.1.12.1)
Copyright © 2008 - 2022 The University of Manchester and HITS gGmbH

By continuing to use this site you agree to the use of cookies