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.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:30056 |
| Date | 19 December 2016 |
| Creators | Luu, Hoang Duc, Chávez, Joseph Páez, Son, Doan Thai, Siegmund, Stefan |
| Publisher | Taylor and Francis |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | doc-type:article, info:eu-repo/semantics/article, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | 10.1080/17513758.2016.1204016 |
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