Reference : A benchmark for methods in reverse engineering and model discrimination: problem form...
Scientific journals : Article
Life sciences : Multidisciplinary, general & others
http://hdl.handle.net/10993/800
A benchmark for methods in reverse engineering and model discrimination: problem formulation and solutions.
English
Kremling, Andreas [> >]
Fischer, Sophia [> >]
Gadkar, Kapil [> >]
Doyle, Francis J. [> >]
Sauter, Thomas mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit >]
Bullinger, Eric [> >]
Allgower, Frank [> >]
Gilles, Ernst D. [> >]
2004
Genome Research
14
9
1773-85
Yes (verified by ORBilu)
1088-9051
1549-5469
United States
[en] Algorithms ; Biochemistry/statistics & numerical data ; Biomedical Engineering ; Computational Biology ; Computer Simulation ; Genes ; Genetic Engineering/methods ; Kinetics ; Models, Genetic ; Nonlinear Dynamics ; Research Design ; Software
[en] 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.
http://hdl.handle.net/10993/800
10.1101/gr.1226004

There is no file associated with this reference.

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.