Rob Phillips 
The Molecular Switch [PDF ebook] 
Signaling and Allostery

Apoio

A signature feature of living organisms is their ability to carry out purposeful actions by taking stock of the world around them. To that end, cells have an arsenal of signaling molecules linked together in signaling pathways, which switch between inactive and active conformations. The Molecular Switch articulates a biophysical perspective on signaling, showing how allostery—a powerful explanation of how molecules function across all biological domains—can be reformulated using equilibrium statistical mechanics, applied to diverse biological systems exhibiting switching behaviors, and successfully unify seemingly unrelated phenomena.
Rob Phillips weaves together allostery and statistical mechanics via a series of biological vignettes, each of which showcases an important biological question and accompanying physical analysis. Beginning with the study of ligand-gated ion channels and their role in problems ranging from muscle action to vision, Phillips then undertakes increasingly sophisticated case studies, from bacterial chemotaxis and quorum sensing to hemoglobin and its role in mammalian physiology. He looks at G-protein coupled receptors as well as the role of allosteric molecules in gene regulation. Phillips concludes by surveying problems in biological fidelity and offering a speculative chapter on the relationship between allostery and biological Maxwell demons.
Appropriate for graduate students and researchers in biophysics, physics, engineering, biology, and neuroscience, The Molecular Switch presents a unified, quantitative model for describing biological signaling phenomena.

€109.99
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Sobre o autor

Rob Phillips is the Fred and Nancy Morris Professor of Biophysics and Biology at the California Institute of Technology. He is the author of
Crystals, Defects and Microstructures and coauthor of
Physical Biology of the Cell and
Cell Biology by the Numbers.

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Língua Inglês ● Formato PDF ● Páginas 440 ● ISBN 9780691200255 ● Tamanho do arquivo 68.7 MB ● Editora Princeton University Press ● Cidade Princeton ● País US ● Publicado 2020 ● Carregável 24 meses ● Moeda EUR ● ID 7384975 ● Proteção contra cópia Adobe DRM
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