Modeling Biomolecular Networks: An Introduction to Systems Biology by Anirvan M. SenguptaModeling Biomolecular Networks: An Introduction to Systems Biology by Anirvan M. Sengupta

Modeling Biomolecular Networks: An Introduction to Systems Biology

byAnirvan M. Sengupta

Hardcover | July 17, 2021

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This book describes the essentials of a mathematical description of the dynamics of biochemical networks. It covers both deterministic and stochastic aspects of the dynamics. After providing a brief introduction to basic molecular biology, the book describes fundamentals of chemical kinetics.The chapter on signal transduction makes contact with ideas from feedback circuit analysis and signal processing. The chapter on switches and oscillators analyses in detail biological examples, both natural and synthetic. Excitable systems are introduced and contrasted with oscillators. The lastchapter deals with pattern formation and development and brings us to current questions of robustness of performance of developmental networks. The book provides brief introductions to some of the mathematical tools required in the main text and in a dedicated appendix. The emphasis, throughout, ison understanding of the essential dynamical aspects rather than just on recipes to build complex models.
Anirvan Sengupta is in the Department of Physics and Astronomy, Rutgers University, New Jersey.
Title:Modeling Biomolecular Networks: An Introduction to Systems BiologyFormat:HardcoverDimensions:208 pages, 9.21 × 6.14 × 0.03 inPublished:July 17, 2021Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0198568045

ISBN - 13:9780198568049

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Table of Contents

1. Introduction2. Chemical Kinetics I: Basics3. Chemical Kinetics II: Stochastic Aspects4. Signal Transduction5. Genetic Switches6. Biological Oscillators7. Excitable Media8. Multicellular Development and Spatial Structure9. Mathematical Appendices

Editorial Reviews

`This field is probably in the middle of a transition from small science to big science.'Richard Berry, University of Oxford