Document Detail


Predicting perfect adaptation motifs in reaction kinetic networks.
MedLine Citation:
PMID:  19367864     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Adaptation and compensation mechanisms are important to keep organisms fit in a changing environment. "Perfect adaptation" describes an organism's response to an external stepwise perturbation by resetting some of its variables precisely to their original preperturbation values. Examples of perfect adaptation are found in bacterial chemotaxis, photoreceptor responses, or MAP kinase activities. Two concepts have evolved for how perfect adaptation may be understood. In one approach, so-called "robust perfect adaptation", the adaptation is a network property (due to integral feedback control), which is independent of rate constant values. In the other approach, which we have termed "nonrobust perfect adaptation", a fine-tuning of rate constant values is needed to show perfect adaptation. Although integral feedback describes robust perfect adaptation in general terms, it does not directly show where in a network perfect adaptation may be observed. Using control theoretic methods, we are able to predict robust perfect adaptation sites within reaction kinetic networks and show that a prerequisite for robust perfect adaptation is that the network is open and irreversible. We applied the method on various reaction schemes and found that new (robust) perfect adaptation motifs emerge when considering suggested models of bacterial and eukaryotic chemotaxis.
Authors:
Tormod Drengstig; Hiroki R Ueda; Peter Ruoff
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  The journal of physical chemistry. B     Volume:  112     ISSN:  1520-6106     ISO Abbreviation:  J Phys Chem B     Publication Date:  2008 Dec 
Date Detail:
Created Date:  2009-04-13     Completed Date:  2009-04-27     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101157530     Medline TA:  J Phys Chem B     Country:  United States    
Other Details:
Languages:  eng     Pagination:  16752-8     Citation Subset:  IM    
Affiliation:
Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway.
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MeSH Terms
Descriptor/Qualifier:
Kinetics
Models, Theoretical*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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