Falk, J. ; Bronstein, L. ; Hanst, M. ; Drossel, B. ; Koeppl, H. (2019)
Context in Synthetic Biology: Memory Effects of Environments with Mono-molecular Reactions.
In: The Journal of Chemical Physics, 150 (2)
doi: 10.1063/1.5053816
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Synthetic biology aims at designing modular genetic circuits that can be assembled according to the desired function. When embedded in a cell, a circuit module becomes a small subnetwork within a larger environmental network, and its dynamics is therefore affected by potentially unknown interactions with the environment. It is well-known that the presence of the environment not only causes extrinsic noise but also memory effects, which means that the dynamics of the subnetwork is affected by its past states via a memory function that is characteristic of the environment. We study several generic scenarios for the coupling between a small module and a larger environment, with the environment consisting of a chain of mono-molecular reactions. By mapping the dynamics of this coupled system onto random walks, we are able to give exact analytical expressions for the arising memory functions. Hence, our results give insights into the possible types of memory functions and thereby help to better predict subnetwork dynamics.
Typ des Eintrags: | Artikel |
---|---|
Erschienen: | 2019 |
Autor(en): | Falk, J. ; Bronstein, L. ; Hanst, M. ; Drossel, B. ; Koeppl, H. |
Art des Eintrags: | Bibliographie |
Titel: | Context in Synthetic Biology: Memory Effects of Environments with Mono-molecular Reactions |
Sprache: | Englisch |
Publikationsjahr: | 10 Januar 2019 |
Verlag: | American Institute of Physics |
Titel der Zeitschrift, Zeitung oder Schriftenreihe: | The Journal of Chemical Physics |
Jahrgang/Volume einer Zeitschrift: | 150 |
(Heft-)Nummer: | 2 |
DOI: | 10.1063/1.5053816 |
URL / URN: | https://aip.scitation.org/doi/10.1063/1.5053816 |
Kurzbeschreibung (Abstract): | Synthetic biology aims at designing modular genetic circuits that can be assembled according to the desired function. When embedded in a cell, a circuit module becomes a small subnetwork within a larger environmental network, and its dynamics is therefore affected by potentially unknown interactions with the environment. It is well-known that the presence of the environment not only causes extrinsic noise but also memory effects, which means that the dynamics of the subnetwork is affected by its past states via a memory function that is characteristic of the environment. We study several generic scenarios for the coupling between a small module and a larger environment, with the environment consisting of a chain of mono-molecular reactions. By mapping the dynamics of this coupled system onto random walks, we are able to give exact analytical expressions for the arising memory functions. Hence, our results give insights into the possible types of memory functions and thereby help to better predict subnetwork dynamics. |
Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Bioinspirierte Kommunikationssysteme 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik 05 Fachbereich Physik 05 Fachbereich Physik > Institut für Festkörperphysik (2021 umbenannt in Institut für Physik Kondensierter Materie (IPKM)) 05 Fachbereich Physik > Institut für Festkörperphysik (2021 umbenannt in Institut für Physik Kondensierter Materie (IPKM)) > Statistische Physik und komplexe Systeme |
Hinterlegungsdatum: | 22 Jan 2019 11:39 |
Letzte Änderung: | 23 Sep 2021 14:30 |
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