DocumentCode
1640780
Title
Crosstalk and the cooperation of collectively autocatalytic reaction networks
Author
Decraene, James ; Mitchell, George G. ; McMullin, Barry
Author_Institution
Sch. of Electron. Eng., Dublin City Univ., Dublin
fYear
2009
Firstpage
2249
Lastpage
2256
Abstract
We examine a potential role of signalling crosstalk in Artificial Cell Signalling Networks (ACSNs). In this research, we regard these ACSNs as subsets of collectively autocatalytic (i.e., organizationally closed) reaction networks being able to both self-maintain and to carry out a distinct signal processing function. These signalling crosstalk phenomena occur naturally when different biochemical networks become mixed together where a given molecular species may contribute simultaneously to multiple ACSNs. It has been reported in the biological literature, that crosstalk may have effects that are both constructive (e.g., coordinating cellular activities, multi-tasking) and destructive (e.g., premature programmed cell death). In this paper we demonstrate how crosstalk may enable distinct closed ACSNs to cooperate with other. From a theoretical point of view, this work may give new insights for the understanding of crosstalk in natural biochemical networks. From a practical point view, this investigation may provide novel applications of crosstalk in engineered ACSNs.
Keywords
biochemistry; biology computing; catalysis; cellular biophysics; crosstalk; molecular biophysics; artificial cell signalling networks; biochemical networks; collectively autocatalytic reaction networks; signalling crosstalk; Analytical models; Biological information theory; Biomedical signal processing; Broadcasting; Cells (biology); Chemistry; Computational modeling; Crosstalk; Genetics; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2009. CEC '09. IEEE Congress on
Conference_Location
Trondheim
Print_ISBN
978-1-4244-2958-5
Electronic_ISBN
978-1-4244-2959-2
Type
conf
DOI
10.1109/CEC.2009.4983220
Filename
4983220
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