TY - CHAP
T1 - Modeling of Cellular Processes
T2 - Methods, Data, and Requirements
AU - Millat, Thomas
AU - Wolkenhauer, Olaf
AU - Fischer, Ralf Jörg
AU - Bahl, Hubert
N1 - Publisher Copyright:
© 2011, Springer Science+Business Media, LLC.
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - Enzyme Reaction Kinetics
KW - Giant Fluctuations
KW - Mean Kinetic Values
KW - System Theoretic Tools
KW - Systems Biology Projects
UR - https://www.scopus.com/pages/publications/79952202276
U2 - 10.1007/978-1-60761-987-1_27
DO - 10.1007/978-1-60761-987-1_27
M3 - Chapter
C2 - 21063964
AN - SCOPUS:79952202276
T3 - Methods in Molecular Biology
SP - 429
EP - 447
BT - Methods in Molecular Biology
PB - Humana Press Inc.
ER -