Fundamentals of Network Biology 1st Edition Wenjun Zhang
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5. Fundamentals of Network Biology 1st Edition Wenjun
Zhang Digital Instant Download
Author(s): WenJun Zhang
ISBN(s): 9781786345080, 1786345080
Edition: 1
File Details: PDF, 6.89 MB
Year: 2010
Language: english
8. Other World Scientific Titles by the Author
Computational Ecology: Artificial Neural Networks and
Their Applications
ISBN: 978-981-4282-62-8
Computational Ecology: Graphs, Networks and Agent-based Modeling
ISBN: 978-981-4343-61-9
Selforganizology: The Science of Self-Organization
ISBN: 978-981-4699-48-8
Sajani - Q0149 - Fundamentals of Network Biology.indd 1 20-04-18 10:03:29 AM
9. NEW JERSEY • LONDON • SINGAPORE • BEIJING • SHANGHAI • HONG KONG • TAIPEI • CHENNAI • TOKYO
World Scientific
Fundamentals of
Network Biology
WenJun Zhang
Sun Yat-sen University, China
Q0149hc_9781786345080_TP.indd 2 13/10/17 5:11 PM
11. April 20, 2018 10:53 Fundamentals of Network Biology 9in x 6in b3136-fm page v
Preface
Why have human cancers not been conquered so far?
Why does brain research emphasize the structure and function of
neurons and brain networks?
Why did the successful cases of drug development meet a signifi-
cant reduction in the past years?
Can the traditional Chinese medicine form a theoretical basis
coincident with the modern science?
Why has ecological structure and some of the core ecological prob-
lems not yet been solved so far?
A lot of research has demonstrated that many problems in
life sciences, medicine, and ecological science have been unable to
be resolved relying on the local research of single factors, single
molecules, and single reactions, and must be analyzed globally and
systematically at the level of networks. In recent years, these methods
and theories of network biology have been successfully used to solve
problems such as ecological structure, coextinction, drug discovery,
and so on, which have made significant progress and breakthroughs.
Network science has begun to become the core theory and methodol-
ogy for dealing with complex biological systems. Network science
is mainly based on graph theory, topology, statistics, operational
research, computational science, etc. It has been successfully applied
in many areas, including statistical physics, particle physics, com-
puter science, internet, biology, ecology, economics, sociology, etc.
Network science focuses on the network structure, network dynamics
and network functionality, etc.
v
12. April 20, 2018 10:53 Fundamentals of Network Biology 9in x 6in b3136-fm page vi
vi Preface
The initial concept of network biology was first put forward
by Barabasi and Oltvai in 2004. Since then network biology has
developed rapidly. In recent years, I further expanded the scope and
contents of network biology. So far, the scientific frame of network
biology has been basically shaped. It is becoming a new frontier sci-
ence that needs to be understood by university students and is a
central research field for researchers.
Up till now, the research in network biology is mainly concen-
trated in such biological networks as protein–protein interactions,
gene regulatory networks, metabolic networks, signaling networks,
neural networks, food webs, etc. At the micro- and macro-level, all
kinds of these biological networks offer a variety of sources for the
development of theory and methods of network biology.
At present, studies of biological networks mainly focus on the
following basic aspects: (1) Network structure: connection structure,
degree distribution, network modules, patterns, motifs, robustness
and stability of biological networks, etc. (2) Network dynamics:
rule-based network evolution, biological adaptability of network evo-
lution; dynamics of biological networks over time, among which net-
work model for continuous variables can be used to analyze phase
diagram, to conduct sensitivity analysis, and bifurcation analysis,
etc. (3) Network control: positive and negative feedbacks, contin-
uous/discrete time control, time delay control, etc. (4) Network
design: design and formulation of biological networks. (5) Other
topics.
In general, the scope and topics of network biology focus on, but
are not limited to the following areas:
• Theories, algorithms, and programs of network analysis.
• Evolution, dynamics, optimization and control of biological net-
works.
• Network construction and link prediction.
• Network topology, topological analysis, relationship between topo-
logical structure and network functions, sensitivity analysis, net-
work robustness, and stability.
• Network flow analysis.
• Design and formulation of biological networks.
13. April 20, 2018 10:53 Fundamentals of Network Biology 9in x 6in b3136-fm page vii
Preface vii
• Ecological networks, food webs and natural equilibrium, coevolu-
tion, coextinction, biodiversity conservation.
• Metabolic networks, protein–protein interaction networks, bio-
chemical reaction networks, gene networks, transcriptional regula-
tory networks, cell cycle networks, phylogenetic networks, network
motifs, and modules.
• Physiological networks, social networks, epidemiological networks.
• Network regulation of metabolic processes, human diseases, and
ecological systems.
• System complexity, self-organized systems, emergence of biological
systems, agent-based modeling, neural network modeling and other
network-based modeling, etc.
• Big data analytics of biological networks.
This book is the first comprehensive book on network biology.
From this integrated and self-contained book, scientists, university
teachers, and students will be provided with an in-depth and com-
plete insight on knowledge, methodology, and recent advances of net-
work biology. Matlab codes are presented in the book for easy use.
It covers such contents as scientific fundamentals of network biol-
ogy, construction and analysis of biological networks, methods for
identifying crucial nodes in biological networks, link prediction, flow
analysis, network dynamics and evolution, network simulation and
control, ecological networks, social networks, molecular and cellular
networks, network pharmacology and network toxicology, big data
analytics, etc. From this unique and self-contained book, undergrad-
uates, postgraduates, teachers, and researchers will thoroughly have
an in-depth and complete insight on network biology. It is a valuable
book for high-level undergraduates, postgraduates and scientists in
the areas of biology, ecology, environmental sciences, medical science,
computational science, applied mathematics, and social science, etc.
14. b2530 International Strategic Relations and China’s National Security: World at the Crossroads
b2530_FM.indd 6 01-Sep-16 11:03:06 AM
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15. April 28, 2018 10:40 Fundamentals of Network Biology 9in x 6in b3136-fm page ix
About the Author
Professor WenJun Zhang graduated from
Northwestern Agricultural University in 1984,
and earned his PhD degree in 1993. Professor
Zhang was a postdoctoral fellow at Sun Yat-sen
University during 1994–1996, and postdoctoral
fellow and project scientist of International Rice
Research Institute during 1997–2000. He was a
visiting scientist to University of Arizona (1996)
and Wageningen University (2002). He is the
president of International Society of Network
Biology and International Society of Computational Ecology. He is
also the editor-in-chief of international journals Network Biology,
Computational Ecology and Software, etc. Professor Zhang has pub-
lished many papers and books. He is now working on ecology and
biological science.
ix
16. b2530 International Strategic Relations and China’s National Security: World at the Crossroads
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Acknowledgments
I am so grateful to the people who gave me guidance: Professors
ShiZe Wang, HonSheng Shang, ZhenQi Li, DeXiang Gu, and KG
Schoenly. I am also indebted to the people who contributed their
valuable suggestions: Professors Yi Pang, RunJie Zhang, Yan Zhang,
Jie Zhang, ChangLong Shu, and YanHong Qi. Special thanks is given
to the anonymous reviewers for their comments and suggestions on
this book. I thank Qi Zhang for her help in the manuscript prepa-
ration. This book is supported by The National Key Research and
Development Program of China (2017YFD0201204), High-Quality
Textbook Network Biology Project for Engineering of Teaching Qual-
ity and Teaching Reform of Undergraduate Universities of Guang-
dong Province (2015.6–2018.6), China, and Guangzhou Science and
Technology Project (No. 201707020003).
xi
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24. April 20, 2018 10:53 Fundamentals of Network Biology 9in x 6in b3136-fm page xviii
xviii Contents
Part 9 Microscopic Networks 439
23 Molecular and Cellular Networks 441
23.1 Metabolic Pathway of Nonalcoholic Fatty
Liver Disease . . . . . . . . . . . . . . . . . . . . . . 442
23.2 E. coli Transcriptional Regulatory Network . . . . . 444
23.3 Common Disease Regulatory Network
for Metabolic Disorders . . . . . . . . . . . . . . . . 447
23.4 Find Molecular Pathological Events in Different
Cancer Tissues . . . . . . . . . . . . . . . . . . . . . 449
23.5 Crucial Metabolites/Reactions in Tumor Signaling
Networks . . . . . . . . . . . . . . . . . . . . . . . . 452
23.6 Brain Network . . . . . . . . . . . . . . . . . . . . . 453
Part 10 Social Networks 459
24 Social Network Analysis 461
24.1 Definition of Social Networks . . . . . . . . . . . . . 461
24.2 Network Criminology . . . . . . . . . . . . . . . . . 467
Part 11 Software 469
25 Software for Network Analysis 471
25.1 Software for Comprehensive Network
Analysis . . . . . . . . . . . . . . . . . . . . . . . . 471
25.2 Software for Network Layout and Others . . . . . . 485
Part 12 Big Data Analytics 489
26 Big Data Analytics for Network Biology 491
26.1 Fundamentals of Big Data Analytics . . . . . . . . . 492
25. April 20, 2018 10:53 Fundamentals of Network Biology 9in x 6in b3136-fm page xix
Contents xix
26.2 Text Mining with Python and R . . . . . . . . . . . 496
26.3 Big Data Analytics of Medicinal Attributes
and Functions of Chinese Herbal Medicines . . . . . 499
References 511
Index 543
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