Name
Abstract | ||
|---|---|---|
. Computer-assisted simulation of biochemical processes is a means to augment the knowledge about the control mechanisms of
such processes in particular organisms. This knowledge can be helpful for the goal-oriented design of drugs. Normally, continuous
models (differential equations) are chosen for modelling such processes. The application of discrete event systems such as
Petri nets has been restricted in the past to low-level modelling and qualitative analysis. To demonstrate that Petri nets
are indeed suitable for simulating metabolic pathways, the glycolysis and citric acid cycle are selected as well-understood
examples of enzymatic reaction chains (metabolic pathways). The paper discusses the steps that lead from gaining necessary
knowledge about the involved enzymes and substances, to establishing and tuning high-level net models, to performing a series
of simulations, and finally to analysing the results. We show that the consistent application of the Petri net view to these
tasks has certain advantages, and – using advanced net tools – reasonable simulation times can be achieved. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1007/s100090100058 | STTT |
Keywords | Field | DocType |
coloured petri nets,glycolysis,citric acid cycle,metabolic pathway,executable model,petri net,enzyme,differential equation,qualitative analysis,goal orientation | Petri net,Computer science,Metabolic pathway,Theoretical computer science,Executable | Journal |
Volume | Issue | Citations |
3 | 4 | 48 |
PageRank | References | Authors |
5.29 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hartmann J. Genrich | 1 | 339 | 162.18 |
| Robert Küffner | 2 | 512 | 59.39 |
| Klaus Voss | 3 | 48 | 5.29 |