James E.Ferrell
Systems Biology of Cell Signaling: Recurring Themes and Quantitative Models
Systems Biology of Cell Signaling: Recurring Themes and Quantitative Models
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- More about Systems Biology of Cell Signaling: Recurring Themes and Quantitative Models
Mathematical models and experimental studies are used to understand the complexity of genes,RNAs,and proteins and their associated regulatory networks. This textbook provides advanced students with the tools and insights needed to carry out studies of signal transduction, drawing on modeling, theory, and experimentation. It covers basic building blocks of signaling systems, circuit devices, and chemical kinetics and nonlinear dynamics.
Format: Paperback / softback
Length: 266 pages
Publication date: 28 September 2021
Publisher: Taylor & Francis Inc
Understanding the complexity of genes, RNAs, and proteins, as well as the associated regulatory networks, is a challenging task. One approach to tackle this problem is to identify recurring patterns of dynamical behavior. Mathematical models, particularly those derived from theories of biochemical reactions such as ordinary differential equation models, have proven to be valuable tools in this endeavor.
Clever and careful experiments are conducted to test these models and their underlying theories. This textbook aims to provide advanced students with the necessary tools and insights to carry out studies of signal transduction, drawing on modeling, theory, and experimentation.
In the early chapters, the basic building blocks of signaling systems are summarized, including binding/dissociation, synthesis/destruction, and activation/inactivation. Subsequent chapters introduce various basic circuit devices, such as amplifiers, stabilizers, pulse generators, switches, stochastic spike generators, and oscillators. Throughout all chapters, approaches and concepts from chemical kinetics and nonlinear dynamics are consistently employed, including rate-balance analysis, phase plane analysis, nullclines, linear stability analysis, stable nodes, saddles, unstable nodes, stable and unstable spirals, and bifurcations.
The primary objective of this textbook is to provide quantitatively inclined biologists and biologically inclined physicists with the necessary tools and insights to apply modeling and theory to interesting biological processes. It is designed to be a comprehensive resource that covers both the theoretical foundations and practical applications of signal transduction.
Key Features:
Full-color illustration program with diagrams to enhance understanding of the concepts
Enables readers to apply modeling and theory to biological processes
Further Reading for each chapter to guide readers in exploring the topic further
High-quality figures available for instructors to download for classroom use
By utilizing mathematical models and conducting rigorous experimentation, this textbook aims to deepen our understanding of the complex dynamics of genes, RNAs, and proteins, as well as the regulatory networks that govern them. It provides a solid foundation for students interested in pursuing careers in biology, biophysics, or related fields.
Weight: 852g
Dimension: 278 x 242 x 22 (mm)
ISBN-13: 9780815346036
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