Optimization protocol of biochemical networks for effective collaboration between industrialists, biologists and modellers

Ivars Mozga (Corresponding Author), Egils Stalidzans

Research output: Contribution to conferencePaperpeer-review

3 Citations (Scopus)

Abstract

Due to the growing number and size of biochemical network computer models an efficient co-operation among experts industrialists, biologists and modellers in industrial biotechnology is becoming a topical issue. In order to speed up the introduction of systems biology achievements into production an organism independent universal collaboration protocol is necessary incorporating a sequence of actions starting with a choice of criterion and model up to industrial tests. Protocol of cooperation of industrialists, biologists and modellers engineering the performance of a microorganism using systems biology approach to improve the efficiency of biotechnological process is developed. Method is described in form of an algorithm that consists of four consecutive stages starting with determination of the product of interest and optimization criteria and ending by an estimation of industrial process feasibility analysis taking into account the features of the available industrial equipment. Application of protocol in yeast glycolysis optimization is given as example. The protocol facilitates efficient resource usage and time savings in biochemical network optimization process due to rational sequence of operations and reduction of optimization duration.

Original languageEnglish
Pages91-96
Number of pages6
Publication statusPublished - 2011
Externally publishedYes
Event9th International Industrial Simulation Conference - Centro Culturale Don Orione, Venice, Italy
Duration: 6 Jun 20118 Jun 2011
Conference number: 9
https://www.eurosis.org/cms/?q=node/1679

Conference

Conference9th International Industrial Simulation Conference
Abbreviated titleISC 2011
Country/TerritoryItaly
CityVenice
Period6/06/118/06/11
Internet address

Keywords*

  • Biology
  • Dynamic
  • Model analysis
  • Numerical methods
  • Optimization

Field of Science*

  • 1.6 Biological sciences
  • 1.1 Mathematics

Publication Type*

  • 3.1. Articles or chapters in proceedings/scientific books indexed in Web of Science and/or Scopus database

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