Linked Life Data

16833364

Source:http://linkedlifedata.com/resource/pubmed/id/16833364

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2006-7-12
pubmed:abstractText
We present a numerical method to identify possible candidates for quasi-stationary manifolds in complex reaction networks governed by systems of ordinary differential equations. Inspired by singular perturbation theory, we examine the ratios of certain components of the reaction rate vector. Those ratios that rapidly approach a nearly constant value define a slow manifold for the original flow in terms of quasi-integrals, that is, functions that are nearly constant along the trajectories. The dimensionality of the original system is thus effectively reduced without reliance on a priori knowledge of the different time scales in the system. We also demonstrate the relation of our approach to singular perturbation theory which, in its simplest form, is just the well-known quasi-steady-state approximation. In two case studies, we apply our method to oscillatory chemical systems: the 6-dimensional hemin-hydrogen peroxide-sulfite pH oscillator and a 10-dimensional mechanistic model for the peroxidase-oxidase (PO) reaction system. We conjecture that the presented method is especially suited for a straightforward reduction of higher dimensional dynamical systems where analytical methods fail to identify the different time scales associated with the slow invariant manifolds present in the system.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1089-5639
pubmed:author
pubmed:issnType
Print
pubmed:day
27
pubmed:volume
109
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
441-50
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Reduction of chemical reaction networks using quasi-integrals.
pubmed:affiliation
Abteilung Biophysik, Institut für Experimentelle Physik, Otto-von-Guericke Universität, Universitätsplatz 2, D-39106 Magdeburg, Germany.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't