Systems Biology Of Cell Signaling Recurring Themes And Quantitative Models | Life Science

How can we understand the complexity of genes RNAs and proteins and the associated regulatory networks? One approach is to look for recurring types of dynamical behavior. Mathematical models prove to be useful especially models coming from theories of biochemical reactions such as ordinary differential equation models. Clever careful experiments test these models and their basis in specific theories. This textbook aims to provide advanced students with the tools and insights needed to carry out studies of signal transduction drawing on modeling theory and experimentation. Early chapters summarize the basic building blocks of signaling systems: binding/dissociation synthesis/destruction and activation/inactivation. Subsequent chapters introduce various basic circuit devices: amplifiers stabilizers pulse generators switches stochastic spike generators and oscillators. All chapters consistently use approaches and concepts from chemical kinetics and nonlinear dynamics including rate-balance analysis phase plane analysis nullclines linear stability analysis stable nodes saddles unstable nodes stable and unstable spirals and bifurcations. This textbook seeks to provide quantitatively inclined biologists and biologically inclined physicists with the tools and insights needed to apply modeling and theory to interesting biological processes. Key Features: Full-color illustration program with diagrams to help illuminate the concepts Enables the reader to apply modeling and theory to the biological processes Further Reading for each chapter High-quality figures available for instructors to download |Systems Biology of Cell Signaling Recurring Themes and Quantitative Models | Life Science