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Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues
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Modeling in Systems Biology - The Petri Net Approach (Hardcover, Edition.)
Loot Price: R2,945
Discovery Miles 29 450
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Modeling in Systems Biology - The Petri Net Approach (Hardcover, Edition.)
Series: Computational Biology, 16
Expected to ship within 10 - 15 working days
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The emerging, multi-disciplinary field of systems biology is
devoted to the study of the relationships between various parts of
a biological system, and computer modeling plays a vital role in
the drive to understand the processes of life from an holistic
viewpoint. Advancements in experimental technologies in biology and
medicine have generated an enormous amount of biological data on
the dependencies and interactions of many different molecular cell
processes, fueling the development of numerous computational
methods for exploring this data. The mathematical formalism of
Petri net theory is able to encompass many of these techniques.
This essential text/reference presents a comprehensive overview of
cutting-edge research in applications of Petri nets in systems
biology, with contributions from an international selection of
experts. Those unfamiliar with the field are also provided with a
general introduction to systems biology, the foundations of
biochemistry, and the basics of Petri net theory. Further chapters
address Petri net modeling techniques for building and analyzing
biological models, as well as network prediction approaches, before
reviewing the applications to networks of different biological
classification. Topics and features: investigates the modular,
qualitative modeling of regulatory networks using Petri nets, and
examines an Hybrid Functional Petri net simulation case study;
contains a glossary of the concepts and notation used in the book,
in addition to exercises at the end of each chapter; covers the
topological analysis of metabolic and regulatory networks, the
analysis of models of signaling networks, and the prediction of
network structure; provides a biological case study on the
conversion of logical networks into Petri nets; discusses discrete
modeling, stochastic modeling, fuzzy modeling, dynamic pathway
modeling, genetic regulatory network modeling, and quantitative
analysis techniques; includes a Foreword by Professor Jens Reich,
Professor of Bioinformatics at Humboldt University and Max Delbruck
Center for Molecular Medicine in Berlin. This unique guide to the
modeling of biochemical systems using Petri net concepts will be of
real utility to researchers and students of computational biology,
systems biology, bioinformatics, computer science, and
biochemistry."
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