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 upon 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 non-linear dynamics, including rate-balance analysis, phase plane analysis, nullclines, linear stability analysis, stable nodes, saddles, unstable nodes, stable and unstable spirals, and bifurcations.