A Benchmark for Methods in Reverse Engineering and Model Discrimination: Problem Formulation and Solutions
- Andreas Kremling1,5,
- Sophia Fischer1,
- Kapil Gadkar2,
- Francis J. Doyle2,
- Thomas Sauter3,
- Eric Bullinger4,
- Frank Allgöwer4, and
- Ernst D. Gilles1,3
- 1 Systems Biology Group, Max-Planck-Institut für Dynamik komplexer technischer Systeme, 39106 Magdeburg, Germany
- 2 Department of Chemical Engineering, University of California-Santa Barbara, Santa Barbara, California 93106, USA
- 3 Institute for System Dynamics and Control Engineering, University of Stuttgart, 70550 Stuttgart, Germany
- 4 Institute for Systems Theory in Engineering, University of Stuttgart, 70550 Stuttgart, Germany
Abstract
A benchmark problem is described for the reconstruction and analysis of biochemical networks given sampled experimental data. The growth of the organisms is described in a bioreactor in which one substrate is fed into the reactor with a given feed rate and feed concentration. Measurements for some intracellular components are provided representing a small biochemical network. Problems of reverse engineering, parameter estimation, and identifiability are addressed. The contribution mainly focuses on the problem of model discrimination. If two or more model variants describe the available experimental data, a new experiment must be designed to discriminate between the hypothetical models. For the problem presented, the feed rate and feed concentration of a bioreactor system are available as control inputs. To verify calculated input profiles an interactive Web site (http://www.sysbio.de/projects/benchmark/) is provided. Several solutions based on linear and nonlinear models are discussed.
Footnotes
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Article and publication are at http://www.genome.org/cgi/doi/10.1101/gr.1226004.
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↵5 Corresponding author. E-MAIL kremling{at}mpi-magdeburg.mpg.de; FAX 391-6110526.
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- Accepted May 18, 2004.
- Received January 27, 2003.
- Cold Spring Harbor Laboratory Press
