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Systems Engineering and Metabolic Engineering: A Side-by-Side Comparison
Author(s) -
Joseph Johnnie,
Mark Austin,
Ganesh Sriram,
Matt Conway,
Ashish Misra
Publication year - 2012
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2012.01.047
Subject(s) - computer science , metabolic engineering , systems modeling language , biochemical engineering , metabolic network , synthetic biology , systems biology , sbml , visualization , metabolic pathway , artificial intelligence , bioinformatics , unified modeling language , chemistry , programming language , biochemistry , biology , markup language , software , metabolism , xml , enzyme , engineering , operating system
Cells of living organisms simultaneously operate hundreds or thousands of interconnected chemical reactions. Metabolic networks include these chemical reactions and the compounds participating in them. Metabolic engineering is a science centered on the analysis and purposeful modification of an organism's metabolic network toward a beneficial purpose, such as production of fuel or medicinal compounds in microorganisms. Unfortunately, there are problems with the design and visualization of modified metabolic networks due to lack of a standardized and fully developed visual modelling languages. The purposes of this paper are to propose a multi-level framework for the synthesis, analysis and design of metabolic systems, and then explore the extent to which abstractions from systems engineering (e.g., SysML) can complement and add value to the abstractions currently under development within the greater biological community (e.g. SBGN). The computational test-bed that accompanies this work is production of the anti-malarial drug artemisinin in genetically engineered Saccaharomyces cerevisiae (yeast)

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