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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 last chapter 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, is on understanding of the essential dynamical aspects rather than just on recipes to build complex models.
This book investigates the mathematical foundations required to model the complex dynamical behaviors of biochemical networks within biological systems. Anirvan M. Sengupta utilizes his expertise in physics and systems biology to bridge the gap between molecular biology and quantitative analysis. The text provides a rigorous framework for understanding how deterministic and stochastic processes govern cellular signaling, switches, and developmental patterns. By focusing on fundamental dynamical principles, the author equips readers with the analytical tools necessary to interpret biological performance and robustness.
What You Will Find
Experts recognize this text as a focused introduction for students and researchers transitioning into quantitative biology. Readers frequently note the balance between biological context and the mathematical density required to analyze complex network behaviors.
Page Count:
208
Publication Date:
2024-11-17
Publisher:
Oxford University Press
ISBN-10:
0198568045
ISBN-13:
9780198568049
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