Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Modeling of in Silico Microbe System based on the Combination of a Hierarchical Regulatory Network with Metabolic Network

계층적 유전자 조절 네트워크와 대사 네트워크를 통합한 가상 미생물 시스템의 모델링

  • 이성근 (부산대학교 화학공학과) ;
  • 한상일 (부산대학교 화학공학과) ;
  • 김경훈 (부산대학교 화학공학과) ;
  • 김영한 (동아대학교 화학공학과) ;
  • 황규석 (부산대학교 화학공학과)
  • Published : 2005.10.01
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Abstract

FBA(flux balance analysis) with Boolean rules for representing regulatory events has correctly predicted cellular behaviors, such as optimal flux distribution, maximal growth rate, metabolic by-product, and substrate concentration changes, with various environmental conditions. However, until now, since FBA has not taken into account a hierarchical regulatory network, it has limited the representation of the whole transcriptional regulation mechanism and interactions between specific regulatory proteins and genes. In this paper, in order to solve these problems, we describe the construction of hierarchical regulatory network with defined symbols and the introduction of a weight for representing interactions between symbols. Finally, the whole cellular behaviors with time were simulated through the linkage of a hierarchical regulatory network module and dynamic simulation module including FBA. The central metabolic network of E. coli was chosen as the basic model to identify our suggested modeling method.

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References

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