Petri net models for the semi-automatic construction of large scale biological networks

Chen M, Hariharaputran S, Hofestädt R, Kormeier B, Spangardt S (2011)
Natural Computing 10(3): 1077-1097.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Abstract / Bemerkung
For the implementation of the virtual cell, the fundamental question is how to model and simulate complex biological networks. During the last 15 years, Petri nets have attracted more and more attention to help to solve this key problem. Regarding the published papers, it seems clear that hybrid functional Petri nets are the adequate method to model complex biological networks. Today, a Petri net model of biological networks is built manually by drawing places, transitions and arcs with mouse events. Therefore, based on relevant molecular database and information systems biological data integration is an essential step in constructing biological networks. In this paper, we will motivate the application of Petri nets for modeling and simulation of biological networks. Furthermore, we will present a type of access to relevant metabolic databases such as KEGG, BRENDA, etc. Based on this integration process, the system supports semi-automatic generation of the correlated hybrid Petri net model. A case study of the cardio-disease related gene-regulated biological network is also presented. MoVisPP is available at http://agbi.techfak.uni-bielefeld.de/movispp/.
Stichworte
Cardio-disease network; Data integration; MoVisPP; Model construction; Functional Petri net
Erscheinungsjahr
2011
Zeitschriftentitel
Natural Computing
Band
10
Ausgabe
3
Seite(n)
1077-1097
ISSN
1567-7818
eISSN
1572-9796
Page URI
https://pub.uni-bielefeld.de/record/2326407

Zitieren

Chen M, Hariharaputran S, Hofestädt R, Kormeier B, Spangardt S. Petri net models for the semi-automatic construction of large scale biological networks. Natural Computing. 2011;10(3):1077-1097.
Chen, M., Hariharaputran, S., Hofestädt, R., Kormeier, B., & Spangardt, S. (2011). Petri net models for the semi-automatic construction of large scale biological networks. Natural Computing, 10(3), 1077-1097. https://doi.org/10.1007/s11047-009-9151-y
Chen, Ming, Hariharaputran, Sridhar, Hofestädt, Ralf, Kormeier, Benjamin, and Spangardt, Sarah. 2011. “Petri net models for the semi-automatic construction of large scale biological networks”. Natural Computing 10 (3): 1077-1097.
Chen, M., Hariharaputran, S., Hofestädt, R., Kormeier, B., and Spangardt, S. (2011). Petri net models for the semi-automatic construction of large scale biological networks. Natural Computing 10, 1077-1097.
Chen, M., et al., 2011. Petri net models for the semi-automatic construction of large scale biological networks. Natural Computing, 10(3), p 1077-1097.
M. Chen, et al., “Petri net models for the semi-automatic construction of large scale biological networks”, Natural Computing, vol. 10, 2011, pp. 1077-1097.
Chen, M., Hariharaputran, S., Hofestädt, R., Kormeier, B., Spangardt, S.: Petri net models for the semi-automatic construction of large scale biological networks. Natural Computing. 10, 1077-1097 (2011).
Chen, Ming, Hariharaputran, Sridhar, Hofestädt, Ralf, Kormeier, Benjamin, and Spangardt, Sarah. “Petri net models for the semi-automatic construction of large scale biological networks”. Natural Computing 10.3 (2011): 1077-1097.
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