Read more
Informationen zum Autor LUONAN CHEN, PhD , is a full professor in the Department of Electrical Engineering and Electronics, Osaka Sangyo University, Osaka, Japan, and he is also the founding director of Institute of Systems Biology, Shanghai University, Shanghai, China. Dr. Chen's fields of interest include systems biology, bioinformatics, and nonlinear dynamics. RUI-SHENG WANG , PhD, is an assistant professor in the School of Information, Renmin University of China. Dr. Wang's research interests include bioinformatics, computational systems biology, and complex networks. XIANG-SUN ZHANG is a full research professor in the Institute of Applied Math-ematics, Chinese Academy of Sciences. Professor Zhang's research interests include bioinformatics, systems biology, optimization theory, and related computational mathematics. Klappentext Alternative techniques and tools for analyzing biomolecular networksWith the recent rapid advances in molecular biology, high-throughput experimental methods have resulted in enormous amounts of data that can be used to study biomolecular networks in living organisms. With this development has come recognition of the fact that a complicated living organism cannot be fully understood by merely analyzing individual components. Rather, it is the interactions of components or biomolecular networks that are ultimately responsible for an organism's form and function. This book addresses the important need for a new set of computational tools to reveal essential biological mechanisms from a systems biology approach.Readers will get comprehensive coverage of analyzing biomolecular networks in cellular systems based on available experimental data with an emphasis on the aspects of network, system, integration, and engineering. Each topic is treated in depth with specific biological problems and novel computational methods:* GENE NETWORKS--Transcriptional regulation; reconstruction of gene regulatory networks; and inference of transcriptional regulatory networks* PROTEIN INTERACTION NETWORKS--Prediction of protein-protein interactions; topological structure of biomolecular networks; alignment of biomolecular networks; and network-based prediction of protein function* METABOLIC NETWORKS AND SIGNALING NETWORKS--Analysis, reconstruction, and applications of metabolic networks; modeling and inference of signaling networks; and other topics and new trendsIn addition to theoretical results and methods, many computational software tools are referenced and available from the authors' Web sites. Biomolecular Networks is an indispensable reference for researchers and graduate students in bioinformatics, computational biology, systems biology, computer science, and applied mathematics. Zusammenfassung Alternative techniques and tools for analyzing biomolecular networks With the recent rapid advances in molecular biology, high-throughput experimental methods have resulted in enormous amounts of data that can be used to study biomolecular networks in living organisms. Inhaltsverzeichnis PREFACE. ACKNOWLEDGMENTS. LIST OF ILLUSTRATIONS. ACRONYMS. 1 Introduction. 1.1 Basic Concepts in Molecular Biology. 1.2 Biomolecular Networks in Cells. 1.3 Network Systems Biology. 1.4 About This Book. I GENE NETWORKS. 2 Transcription Regulation: Networks and Models. 2.1 Transcription Regulation and Gene Expression. 2.2 Networks in Transcription Regulation. 2.3 Nonlinear Models Based on Biochemical Reactions. 2.4 Integrated Models for Regulatory Networks. 2.5 Summary. 3 Reconstruction of Gene Regulatory Networks. 3.1 Mathematical Models of Gene Regulatory Network. 3.2 Reconstructing Gene Regulatory Networks. 3.3 Inferring Gene Networks from Multiple Datasets. 3.4 Gene Network-Based Dru...
