The Semiotics of Cellular Communication in the Immune System, Eli E. Sercarz; Umberto Eco; Franco Celada; N.Avri

Автор: Eckart D. Gundelfinger; Constanze Seidenbecher; Bu
Название: Cell Communication in Nervous and Immune System
ISBN: 3642071929 ISBN-13(EAN): 9783642071928
Издательство: Springer
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Цена: 44582.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Uniquely, it puts side by side cellular communication devices and signaling mechanisms in the immune and nervous systems and discusses mechanisms of interaction between the two systems, the significance of which has only recently been fully appreciated.

Автор: Yue Zhenyu Et Al
Название: Autophagy Of The Nervous System: Cellular Self-Digestion In Neurons And Neurological Diseases
ISBN: 9814350443 ISBN-13(EAN): 9789814350440
Издательство: World Scientific Publishing
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Цена: 22176.00 р.
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Описание: What is autophagy? Why would neurons or other brain cells digest parts of themselves through autophagy? How can autophagy save the lives of cells under some conditions, but act as a culprit or accomplice to cell death in others? This book addresses these questions and provides a view of the concepts in autophagy research.

Название: System Modeling in Cellular Biology
ISBN: 0262514222 ISBN-13(EAN): 9780262514224
Издательство: MIT Press
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Цена: 3119.00 р.
Наличие на складе: Нет в наличии.

Описание:

An introduction and overview of system modeling in biology that is accessible to researchers from different fields, including biology, computer science, mathematics, statistics, physics, and biochemistry.

Research in systems biology requires the collaboration of researchers from diverse backgrounds, including biology, computer science, mathematics, statistics, physics, and biochemistry. These collaborations, necessary because of the enormous breadth of background needed for research in this field, can be hindered by differing understandings of the limitations and applicability of techniques and concerns from different disciplines. This comprehensive introduction and overview of system modeling in biology makes the relevant background material from all pertinent fields accessible to researchers with different backgrounds.

The emerging area of systems level modeling in cellular biology has lacked a critical and thorough overview. This book fills that gap. It is the first to provide the necessary critical comparison of concepts and approaches, with an emphasis on their possible applications. It presents key concepts and their theoretical background, including the concepts of robustness and modularity and their exploitation to study biological systems; the best-known modeling approaches, and their advantages and disadvantages; lessons from the application of mathematical models to the study of cellular biology; and available modeling tools and datasets, along with their computational limitations.