Abstract
Biological systems are extremely complex, nonlinear and self-organized, self-regulated systems that can adjust to the environmental changes due to underlying genetic mechanisms. The key task of systems biology is to understand cellular processes, functions and/or properties of biological system better. It can be done by means of the structure, behaviour and dynamic exploration of biochemical networks, such as genetic regulatory, metabolic, protein interaction and signalling networks. In this paper we focused on the modeling of biochemical networks evolution that occur as a result of genetic alterations and offer coterie an evolution modeling algorithm of biochemical network structure.
Original language | English |
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Pages | 24-29 |
Number of pages | 6 |
Publication status | Published - 2012 |
Externally published | Yes |
Event | 10th International Industrial Simulation Conference - Brno University of Technology, Brno, Czech Republic Duration: 4 Jun 2012 → 6 Jun 2012 Conference number: 10 https://www.eurosis.org/cms/?q=taxonomy/term/318 |
Conference
Conference | 10th International Industrial Simulation Conference |
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Abbreviated title | ISC 2012 |
Country/Territory | Czech Republic |
City | Brno |
Period | 4/06/12 → 6/06/12 |
Internet address |
Keywords*
- Biochemical networks
- Evolution modeling
- Feedback
- Mutation operators
Field of Science*
- 1.1 Mathematics
- 1.6 Biological sciences
- 1.4 Chemical sciences
Publication Type*
- 3.1. Articles or chapters in proceedings/scientific books indexed in Web of Science and/or Scopus database