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El. knyga: Systems Biology: An Integrated Platform for Bioinformatics, Systems Synthetic Biology and Systems Metabolic Engineering

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  • Formatas: 345 pages
  • Išleidimo metai: 01-Mar-2015
  • Leidėjas: Nova Science Publishers Inc
  • ISBN-13: 9781633216556
Kitos knygos pagal šią temą:
Systems Biology: An Integrated Platform for Bioinformatics, Systems Synthetic Biology and Systems Metabolic EngineeringDidesnis paveikslėlis
  • Formatas: 345 pages
  • Išleidimo metai: 01-Mar-2015
  • Leidėjas: Nova Science Publishers Inc
  • ISBN-13: 9781633216556
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Systems biology sits at the heart of new integrative paradigm in the 21st century, the book could gain an insight into (i) system structure and the mechanism of biological networks such as gene regulation, protein interactions, signaling, and metabolic pathways; (ii) system dynamics of biological networks, which provides an understanding of stability, robustness, and transduction ability through system identification, and through system analysis methods; (iii) system control methods at different levels of biological networks, which provide an understanding of systematic mechanisms to robustly control system states, minimize malfunctions, and provide potential therapeutic targets in disease treatment; (iv) systematic design methods for the modification and construction of biological networks with desired behaviors, which provide system design principles and system simulations for synthetic biology designs and systems metabolic engineering. This book not only describes the current developments in systems biology, systems synthetic biology, and systems metabolic engineering for engineering and biology researchers but also discusses challenges and future prospects for systems biology and the concept of systems biology as an integrated platform for bioinformatics, systems synthetic biology, and systems metabolic engineering.
Preface ix
Chapter 1 Introduction to Systems Biology
1(12)
Abstract
1(1)
Introduction
1(1)
1.1 The Role of Systems Biology in Modern Biology Research
2(1)
1.2 The Role of Bioinformatics in Systems Biology
2(2)
1.3 The Role of Systems Biology in Synthetic Biology and Metabolic Engineering
4(1)
1.4 The Role of Systematic Analysis and Mathematic Modeling in Systems Biology
5(1)
1.5 Future Challenges of Systems Biology
6(7)
Conclusion
7(1)
References
7(6)
Chapter 2 Preliminary Mathematics
13(24)
Abstract
13(1)
Introduction
13(1)
2.1 Linear System Model
13(4)
2.2 Matrix Norms
17(4)
2.3 Statistical Inference
21(5)
2.4 Statistical Hypothesis Testing
26(2)
2.5 Stochastic Systems
28(4)
2.6 Numerical Optimization
32(5)
Chapter 3 Reverse Engineering in Systems Biology
37(10)
Abstract
37(1)
Introduction
37(1)
3.1 The Least Square Parameter Estimation Method
38(2)
3.2 The Maximum Likelihood Parameter Estimation Method
40(2)
3.3 The Recursive Least Square Parameter Identification Algorithm
42(1)
3.4 System Model Order Determination
43(1)
3.5 Nonlinear Parameter Estimation Methods
44(3)
Chapter 4 Systems Biology Approach to GRNs and PPI Networks
47(46)
Abstract
47(1)
Introduction
47(1)
4.1 Construction of GRNs via Microarray Data
48(3)
4.2 Construction of PPI Networks
51(1)
4.3 Construction of Integrated GRN and PPI Cellular Networks
52(5)
4.4 Interspecies PPI Network between Host and Pathogen
57(6)
4.5 Stochastic Spatial-Temporal Dynamic Model for Gene/Protein Interaction Network in Early Drosophila Development
63(20)
4.6 Conclusion
83(1)
4.7 Appendix
83(10)
References
85(8)
Chapter 5 Measurement of System Characters of Biological Networks via Microarray Data
93(28)
Abstract
93(1)
Introduction
93(1)
5.1 Measurements of Network Robustness and Sensitivity Estimation via Microarray Data Using a Systems Biology Approach
94(4)
5.2 Tradeoff between Network Robustness and Network Response Ability during Aging Process
98(2)
5.3 Gene Response Ability of Individual Genes in the Aging-Related Regulatory Network in the Young, Aged, and CR Groups
100(4)
5.4 Network-Based Biomarker Determination via Sample Microarray Data Using a Systems Biology Approach
104(9)
5.5 Conclusion
113(1)
5.6 Appendix
114(7)
References
116(5)
Chapter 6 Network Robustness, Filtering, and Transduction Ability Analysis of Stochastic Biological Networks
121(32)
Abstract
121(1)
Introduction
121(1)
6.1 Network Robustness Analysis of Stochastic GRNs
122(3)
6.2 Filtering Analysis of Stochastic GRNs
125(3)
6.3 Transduction Ability Analysis of Signal Transduction Pathways
128(13)
6.4 Conclusion
141(1)
6.5 Appendix
141(12)
References
149(4)
Chapter 7 Systems Synthetic Biology
153(22)
Abstract
153(1)
Introduction
153(1)
7.1 Design of Specifications-Based Systems Synthetic Biology
154(11)
7.2 Robust Synthetic Gene Network Design via Library-Based Search Methods
165(4)
7.3 Conclusion
169(1)
7.4 Appendix
169(6)
References
172(3)
Chapter 8 Systems Metabolic Engineering
175(50)
Abstract
175(1)
Introduction
175(1)
8.1 Robust Biochemical Circuit Design in Metabolic Networks
176(7)
8.2 Multipurpose Circuit Control Design of Metabolic Networks
183(8)
8.3 Robust Circuit Design of Stochastic Dynamic Metabolic Networks
191(10)
8.4 Isobutanol Biosynthetic Pathway in E. coli for Biofuel via Systems Synthetic Biology
201(14)
8.5 Conclusion
215(1)
8.6 Appendix
215(10)
References
220(5)
Chapter 9 Systems Biology Approach by Stochastic Dynamic Nash Games
225(96)
Abstract
225(1)
Introduction
225(1)
9.1 Robust Model Matching Control of Immune Systems under Environmental Disturbances: Dynamic Game Approach
226(22)
9.2 Robust Synthetic Biology Design: Stochastic Game Theory Approach
248(16)
9.3 The Stochastic Evolutionary Game on A Population of Biological Networks under Natural Selection
264(31)
9.4 Conclusion
295(1)
9.5 Appendix
295(26)
References
313(8)
Chapter 10 Concluding Remarks and Future Challenges in Systems Biology
321(4)
Abstract
321(1)
Introduction
321(1)
10.1 Future Challenges in Systems Biology
322(2)
10.2 The Future Prospect of Systems Biology
324(1)
10.3 Conclusion
324(1)
References
324(1)
Authors' Contact Information 325(2)
Index 327
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