This book provides an accessible introduction to the principles and tools for modeling analyzing and synthesizing biomolecular systems It begins with modeling tools such as reaction rate equations reduced order models stochastic models and specific models of important core processes It then describes in detail the control and dynamical systems tools used to analyze these models These include tools for analyzing stability of equilibria limit cycles robustness and parameter uncertainty Modeling and analysis techniques are then applied to design examples from both natural systems and synthetic biomolecular circuits In addition this comprehensive book addresses the problem of modular composition of synthetic circuits the tools for analyzing the extent of modularity and the design techniques for ensuring modular behavior It also looks at design trade offs focusing on perturbations due to noise and competition for shared cellular resources Featuring numerous exercises and illustrations throughout Biomolecular Feedback Systems is the ideal textbook for advanced undergraduates and graduate students For researchers it can also serve as a self contained reference on the feedback control techniques that can be applied to biomolecular systems Provides a user friendly introduction to essential concepts tools and applicationsCovers the most commonly used modeling methodsAddresses the modular design problem for biomolecular systemsUses design examples from both natural systems and synthetic circuitsSolutions manual available only to professors at press princeton edu An online illustration package is available to professors at press princeton edu