Systems Biology: Constraint-Based Reconstruction and Analysis

ISBN-13: 9781107038851 / Angielski / Twarda / 2015 / 550 str.

Bernhard O Palsson

Opis

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, this textbook 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, the book is designed to provide students with a solid conceptual framework and an invaluable set of modeling tools and computational approaches.

Recenzje

'[This textbook] offers a truly authoritative treatment of genome-scale systems biology modelling. [It] covers all aspects of this rapidly growing field from theory to basic and applied uses, also detailing open challenges with an emphasis on the multitude of constraint-based approaches by which phenotypic behavior can be inferred from biochemical wiring diagrams. The book is generously illustrated by figures and despite its great depth and breadth, it remains readily accessible … researchers [will find it] a go-to guide for many years to come.' Balázs Papp, Biological Research Centre, Hungarian Academy of Sciences

Spis treści

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.