47180
2006
2006
eng
11868
11873
6
32
103
article
National Academy of Sciences
Washington
1
--
2006-08-08
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Structural kinetic modeling of metabolic networks
To develop and investigate detailed mathematical models of metabolic processes is one of the primary challenges in systems biology. However, despite considerable advance in the topological analysis of metabolic networks, kinetic modeling is still often severely hampered by inadequate knowledge of the enzyme-kinetic rate laws and their associated parameter values. Here we propose a method that aims to give a quantitative account of the dynamical capabilities of a metabolic system, without requiring any explicit information about the functional form of the rate equations. Our approach is based on constructing a local linear model at each point in parameter space, such that each element of the model is either directly experimentally accessible or amenable to a straightforward biochemical interpretation. This ensemble of local linear models, encompassing all possible explicit kinetic models, then allows for a statistical exploration of the comprehensive parameter space. The method is exemplified on two paradigmatic metabolic systems: the glycolytic pathway of yeast and a realistic-scale representation of the photosynthetic Calvin cycle.
Proceedings of the National Academy of Sciences of the United States of America
10.1073/pnas.0600013103
16880395
0027-8424
1091-6490
wos:2006
WOS:000239701900011
Steuer, R (reprint author), Univ Potsdam, Inst Phys, Nonlinear Dynam Grp, D-14469 Potsdam, Germany., steuer@agnld.uni-potsdam.de
importub
2020-06-24T12:50:07+00:00
filename=package.tar
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Ralf Steuer
Thilo Gross
Joachim Selbig
Bernd Blasius
eng
uncontrolled
systems biology
eng
uncontrolled
computational biochemistry
eng
uncontrolled
metabolomics
eng
uncontrolled
metabolic regulation
eng
uncontrolled
biological robustness
Institut für Physik und Astronomie
Referiert
Open Access
Institut für Physik
Import
Bronze Open-Access