Biological petri nets /

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Bibliographic Details
Imprint:Amsterdam : IOS Press, 2011.
Description:1 online resource (xii, 301 pages) : figure, table
Language:English
Series:Studies in health technology and informatics, 0926-9630 ; v. 162
Studies in health technology and informatics ; v. 162.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11257880
Hidden Bibliographic Details
Other authors / contributors:Wingender, Edgar.
IOS Press.
ISBN:9781607507048
1607507048
160750703X
9781607507031
9781607507031
Notes:Includes bibliographical references index.
Print version record.
Summary:It was suggested some years ago that Petri nets might be well suited to modeling metabolic networks, overcoming some of the limitations encountered by the use of systems employing ODEs (ordinary differential equations). Much work has been done since then which confirms this and demonstrates the usefulness of this concept for systems biology. Petri net technology is not only intuitively understood by scientists trained in the life sciences, it also has a robust mathematical foundation and provides the required degree of flexibility. As a result it appears to be a very promising approach to mode.
Other form:Print version: Biological petri nets. Amsterdam : IOS Press, 2011
Standard no.:99947243695

MARC

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520 |a It was suggested some years ago that Petri nets might be well suited to modeling metabolic networks, overcoming some of the limitations encountered by the use of systems employing ODEs (ordinary differential equations). Much work has been done since then which confirms this and demonstrates the usefulness of this concept for systems biology. Petri net technology is not only intuitively understood by scientists trained in the life sciences, it also has a robust mathematical foundation and provides the required degree of flexibility. As a result it appears to be a very promising approach to mode. 
588 0 |a Print version record. 
505 0 |a Title page; Preface; Contents; Petri Nets and the Simulation of Metabolic Networks; Quantitative Modeling of Biochemical Networks; Topological Analysis of Metabolic Networks Based on Petri Net Theory; Quantitative Petri Net Model of Gene Regulated Metabolic Networks in the Cell; Petri Nets for Steady State Analysis of Metabolic Systems; Biopathways Representation and Simulation on Hybrid Functional Petri Net; Constructing Biological Pathway Models with Hybrid Functional Petri Nets. 
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