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Signaling at the Cell Surface in the Circulatory and Ventilatory Systems 2012 Edition
Contributor(s): Thiriet, Marc (Author)
ISBN: 1461419905     ISBN-13: 9781461419907
Publisher: Springer
OUR PRICE:   $161.49  
Product Type: Hardcover - Other Formats
Published: December 2011
Qty:
Additional Information
BISAC Categories:
- Science | Life Sciences - Biophysics
- Technology & Engineering | Engineering (general)
- Technology & Engineering | Mechanical
Dewey: 571.74
LCCN: 2011943886
Series: Biomathematical and Biomechanical Modeling of the Circulator
Physical Information: 2.06" H x 6.14" W x 9.21" (3.44 lbs) 982 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

The volumes in this authoritative series present a multidisciplinary approach to modeling and simulation of flows in the cardiovascular and ventilatory systems, especially multiscale modeling and coupled simulations. The cardiovascular and respiratory systems are tightly coupled, as their primary function is to supply oxygen to and remove carbon dioxide from the body's cells. Because physiological conduits have deformable and reactive walls, macroscopic flow behavior and prediction must be coupled to nano- and microscopic events in a corrector scheme of regulated mechanisms when the vessel lumen caliber varies markedly. Therefore, investigation of flows of blood and air in physiological conduits requires an understanding of the biology, chemistry, and physics of these systems together with the mathematical tools to describe their functioning.

Volume 3 is devoted to the set of mediators of the cell surface, especially ion and molecular carriers and catalytic receptors that, once liganded and activated, initiate signal transduction pathways. Intracellular cascades of chemical reactions trigger the release of substances stored in cellular organelles and/or gene transcription and protein synthesis. Primary mediators are included in models of regulated cellular processes, but multiple secondary signaling components are discarded to allow simple, representative modeling and to manage their inverse problems.