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Modeling of CHO Metabolism and Krebs Cycle Using Petri-Nets (PN)
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Author(s): Isaac Barjis (New York City College of Technology of the City University of New York, USA), Sidi Berri (New York City College of Technology of the City University of New York, USA), Nwayigwe Okpa (New York City College of Technology of the City University of New York, USA), Jennifer Tan (New York City College of Technology, USA)and Idline Agustin
Copyright: 2006
Pages: 3
Source title:
Emerging Trends and Challenges in Information Technology Management
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59904-019-6.ch235
ISBN13: 9781616921286
EISBN13: 9781466665361
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Abstract
Metabolism is a highly complex biochemical network whose functions are tightly coordinated and regulated by feedback mechanisms to meet the physiological demands of living organisms. One approach to understanding those complex metabolic reactions is to use mathematical methods and computational tools to model, simulate and analyze each metabolic network. Unfortunately, most publications on modeling present only the final products without describing the details as to how they were developed and tested. In this paper, we use Petri nets as a modeling tool to model, simulate and analyze the process of carbohydrate metabolism, and in particular, the Krebs cycle. This paper will show both the compact model (which presents only the final product) and detailed model of Krebs cycle.
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