Models of Life

Klappentext Focusing on simple models, this book describes methods for studying the quantitative aspects of life through physical modelling, using E. coli and phage lambda as key examples. It encompasses fields such as quantitative molecular biology, systems biology and biophysics, providing a tool for students from both biological and physical science backgrounds. Zusammenfassung Focusing on simple models! this book describes methods for studying the quantitative aspects of life through physical modelling! using E. coli and phage lambda as key examples. It encompasses fields such as quantitative molecular biology! systems biology and biophysics! providing a tool for students from both biological and physical science backgrounds. Preface; 1. Life from a physics perspective; 2. E. coli as a model system; 3. Dynamics of regulatory links; 4. Statistical mechanics of phage lambda; 5. Diffusion and randomness in transcription; 6. Stochastic genes and persistent decisions; 7. Gene regulation and epigenetics in cis; 8. Feedback circuits; 9. Networks; 10. Signalling and metabolic networks; 11. Agent-based models of signalling and selection; 12. Competition and diversity; 13. Evolution and extinction; Appendix; References; Index.

Autorentext
Kim Sneppen is Professor of Physics at the Niels Bohr Institute and Director of the interdisciplinary Center for Models of Life (CMOL) at Copenhagen University, Denmark. Drawing on experience across several academic disciplines, his work explores the frontier between complex dynamical systems and living systems, and in his role at CMOL he promotes hands-on development of quantitative models of central biological processes. Sneppen is also co-author of Physics in Molecular Biology (Cambridge University Press, 2005).

Klappentext
An overview of current models of biological systems, reflecting the major advances that have been made over the past decade.

Inhalt
Preface; 1. Life from a physics perspective; 2. E. coli as a model system; 3. Dynamics of regulatory links; 4. Statistical mechanics of phage ; 5. Diffusion and randomness in transcription; 6. Stochastic genes and persistent decisions; 7. Gene regulation and epigenetics in cis; 8. Feedback circuits; 9. Networks; 10. Signalling and metabolic networks; 11. Agent-based models of signalling and selection; 12. Competition and diversity; 13. Evolution and extinction; Appendix; References; Index.

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