Analogies between structural and systems biology and systems-of-systems engineering in dynamic environments

Subhodeep Moitra, Naveena Yanamala, Oznur Tastan, Irtisha Singh, Christopher J. Langmead, Judith Klein-Seetharaman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Computer science and biology have inspired each other by drawing analogies. Biological molecules are even used directly as new material building blocks for creating next generation computer hard- and software. Recently, biology is moving to larger scales, generating datasets of high complexity and size. This allows moving from studies of individual biological entities such as proteins to their complex networks of interactions. Since cells are able to respond to perturbations over time, it is becoming an important variable in these studies. This is analogous to systems of systems engineering to operate in dynamic environments, requiring the efficient monitoring of external variables and intelligent choice of adequate responses. Here, we survey previous successes in exploiting analogies between biology and computer science and propose novel avenues and potential for cross-fertilization of research in dynamic systems modeling in biology and systems-of-systems engineering.

Original languageEnglish (US)
Title of host publication2010 5th International Conference on System of Systems Engineering, SoSE 2010
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 5th International Conference on System of Systems Engineering, SoSE 2010 - Loughborough, United Kingdom
Duration: Jun 22 2010Jun 24 2010

Publication series

Name2010 5th International Conference on System of Systems Engineering, SoSE 2010

Conference

Conference2010 5th International Conference on System of Systems Engineering, SoSE 2010
Country/TerritoryUnited Kingdom
CityLoughborough
Period6/22/106/24/10

Keywords

  • Biological system modeling
  • Communication system signaling
  • Networks
  • Proteins

ASJC Scopus subject areas

  • Control and Systems Engineering

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