656 pages, 428 black & white illustrations
Cellular Signal Processing is intended for use in signal transduction courses for undergraduate and graduate students. It offers a unifying view of cell signaling that is based on the concept of protein interactions acting as sophisticated data processing networks that govern intracellular and extracellular communication. The content is guided by three major principles that are central to signal transduction: the protein network, its energy supply, and its evolution. It includes coverage of all important aspects of cell signaling, ranging from prokaryotic signal transduction to neuronal signaling. It also highlights the clinical aspects of cell signaling in health and disease.
This book would be highly useful to undergraduate students in medical, bioinformatics or biological science that are studying or pursuing research into signal transduction, network or systems biology. This book would also appeal to graduate students or professionals moving into this field of research, without prior knowledge or experience...each chapter engages the reader and conveys the importance of biological systems and networks adequately, thus challenging the reader to continue viewing their specific focus or field of research in complete isolation. Immunology News, November 2010 "This book provides comprehensive coverage of signal transduction. Unlike other texts currently available, a common theme of data processing by cellular machinery runs through this book which makes it stand out favorably against the competition. Material is up-to-date and covers the areas that are at the forefront of cell signaling research today." Alexey Veraksa, University of Massachusetts, Boston "The diversity of appropriate cell cycle topics covered is impressive. Impressive amount of important information. Best summary of cell cycle biochemistry in a text." Bradley J Stith, University of Colorado "The organization of the proposed book is excellent. The fundamentals of data processing by protein networks and evolution of this data processing in the first two chapters is the unique feature of the book and sets up the framework of cell signal transduction. This should allow students to get a firm grip of the overall pictures of cell signalling networks before zooming into the specific topics. Such chapters are largely missing from other textbooks. Figures are well executed and informative." Wei-Jen Tang, Univesrity of Chicago
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