Modeling in systems biology : the petri net approach
著者
書誌事項
Modeling in systems biology : the petri net approach
(Computational biology)
Springer, c2011
大学図書館所蔵 件 / 全4件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references (p. 339-356) and index
内容説明・目次
内容説明
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.
目次
Part I: Foundations
Introduction
Ina Koch and Falk Schreiber
Biochemical Fundamentals
Tiina Liiving, Syed M. Baker, and Bjoern H. Junker
Petri Nets
Wolfgang Reisig
Part II: Modeling Techniques
Discrete Modeling
Andrea Sackmann
Modeling Genetic Regulatory Networks
Richard Banks, Victor Khomenko, and L. Jason Steggles
Hybrid Functional Petri Net with Extension for Dynamic Pathway Modeling
Ayumu Saito, Masao Nagasaki, Hiroshi Matsuno, and Satoru Miyano
Stochastic Modeling
Ivan Mura
Quantitative Analysis
Joerg Ackermann and Ina Koch
Fuzzy Modeling
Florian Erhard, Lukas Windhager, and Ralf Zimmer
Part III: Biochemical Applications
Topological Analysis of Metabolic and Regulatory Networks
Stefan Schuster and Bjoern H. Junker
Analysis of Dynamical Models of Signaling Networks with Petri Nets and Dynamic Graphs
Simon Hardy and Ravi Iyengar
A Modular, Qualitative Modeling of Regulatory Networks Using Petri Nets
Claudine Chaouiya, Hanna Klaudel, and Franck Pommereau
A Case Study of HFPN Simulation: Finding Essential Roles of Ror Gene in the Interaction of Feedback Loops in Mammalian Circadian Clock
Hiroshi Matsuno
Prediction of Network Structure
Annegret Wagler
「Nielsen BookData」 より