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Finite-time Lyapunov exponents and metabolic control coefficients for threshold detection of stimulus–response curves

In biochemical networks transient dynamics plays a fundamental role, since the activation of signalling pathways is determined by thresholds encountered during the transition from an initial state (e.g. an initial concentration of a certain protein) to a steady-state. These thresholds can be defined in terms of the inflection points of the stimulus-response curves associated to the activation processes in the biochemical network. In the present work, we present a rigorous discussion as to the suitability of finite-time Lyapunov exponents and metabolic control coefficients for the detection of inflection points of stimulus-response curves with sigmoidal shape.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa.de:bsz:14-qucosa-215920
Date19 December 2016
CreatorsLuu, Hoang Duc, Chávez , Joseph Páez, Son, Doan Thai, Siegmund, Stefan
ContributorsTaylor and Francis,
PublisherSaechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typedoc-type:article
Formatapplication/pdf
SourceJournal of Biological Dynamics, (2016) ;10(1), S. 379-94. ISSN: 1751-3766. DOI: 10.1080/17513758.2016.1204016.

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