About this product

Systems Biology

Recent technological advances have enabled comprehensive determination of the molecular composition of living cells. The chemical interactions between many of these molecules are known, giving rise to genome-scale reconstructed biochemical reaction networks underlying cellular functions. Mathematical descriptions of the totality of these chemical interactions lead to genome-scale models that allow the computation of physiological functions. Reflecting these recent developments, Systems Biology explains how such quantitative and computable genotype-phenotype relationships are built using a genome-wide basis of information about the gene portfolio of a target organism. It describes how biological knowledge is assembled to reconstruct biochemical reaction networks, the formulation of computational models of biological functions, and how these models can be used to address key biological questions and enable predictive biology. Developed through extensive classroom use, Systems Biology is designed to provide students with a solid conceptual framework and an invaluable set of modeling tools and computational approaches.

Contents

Preface

1. Introduction

Part I. Network Reconstruction
2. Network reconstruction: the concept
3. Network reconstruction: the process
4. Metabolism in Escherichia coli
5. Prokaryotes
6. Eukaryotes
7. Biochemical reaction networks
8. Metastructures of genomes

Part II. Mathematical Properties of Reconstructed Networks
9. The stoichiometric matrix
10. Simple topological network properties
11. Fundamental network properties
12. Pathways
13. Use of pathway vectors
14. Randomized sampling

Part III. Determining the Phenotypic Potential of Reconstructed Networks
15. Dual causality
16. Functional states
17. Constraints
18. Optimization
19. Determining capabilities
20. Equivalent states
21. Distal causation

Part IV. Basic and Applied Uses
22. Environmental parameters
23. Genetic parameters
24. Analysis of omic data
25. Model driven discovery
26. Adaptive laboratory evolution
27. Model driven design

Part V. Conceptual Foundations
28. Teaching systems biology
29. Epilogue

References
Index

About the author

Bernhard Ø. Palsson is the Galletti Professor of Bioengineering and Professor of Pediatrics at the University of California, San Diego. For almost 30 years, his research has focused on the development of large-scale models of biological functions and their use to solve basic and applied problems in the life sciences. He has authored three previous textbooks.

Specifications

Pm Supplier	CUP/ Cambridge University Press
Pm Publisher	Cambridge University Press
Pm Isbn 10	1107038855
Pm Isbn 13	9781107038851
Pm Publication Date	2015-01-26
Pm Author	Palsson,Bernhard Ø
Pm Longness	0

Constraint-Based Reconstruction and Analysis
Key Info: 244 colour & 27 b/w illustrations, 45 tables
Author: Palsson,Bernhard Ø
Page Count: 550
Publication Date: 2015-01-26