Evolution modeling algorithm of biochemical networks

Tatjana Rubina, Egils Stalidzans

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

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 languageEnglish
Pages24-29
Number of pages6
Publication statusPublished - 2012
Externally publishedYes
Event10th International Industrial Simulation Conference - Brno University of Technology, Brno, Czech Republic
Duration: 4 Jun 20126 Jun 2012
Conference number: 10
https://www.eurosis.org/cms/?q=taxonomy/term/318

Conference

Conference10th International Industrial Simulation Conference
Abbreviated titleISC 2012
Country/TerritoryCzech Republic
CityBrno
Period4/06/126/06/12
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

Fingerprint

Dive into the research topics of 'Evolution modeling algorithm of biochemical networks'. Together they form a unique fingerprint.

Cite this