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OverviewThis book demonstrates the usefulness of tools from statistical mechanics for biology. It includes the new tendencies in topics like membranes, vesicles, microtubules, molecular motors, DNA, protein folding, phase transitions in biological systems, evolution, population dynamics, neural systems and biological oscillators, with special emphasis on the importance of statistical mechanics in their development. The book addresses researchers and graduate students. Full Product DetailsAuthor: D. Reguera , J.M.G. Vilar , J.M. RubiPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Edition: Softcover reprint of hardcover 1st ed. 1999 Volume: 527 Dimensions: Width: 15.50cm , Height: 1.70cm , Length: 23.50cm Weight: 0.516kg ISBN: 9783642085536ISBN 10: 3642085539 Pages: 320 Publication Date: 15 December 2010 Audience: Professional and scholarly , Professional and scholarly , Professional & Vocational , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsFrom membranes to membrane machines.- ‘Sausage string’ patterns in blood vessels at high blood pressures.- Phase transitions in mesoscopic spherical membranes.- Modeling microtubule oscillations[1].- Designing RNA folding cooperativity.- Scaling laws for protein folding.- Self-organizing networks of molecular machines in allosterically regulated enzymic reactions.- Coupled Brownian motors.- On the role of molecular machines in the origin of the genetic code.- Population dynamics and non-Hermitian localization.- Collective motion.- A population dynamics approach to biological aging.- Small-world networks.- Extended mean-field theory for networks of spiking neurons.- Pattern formation in the developing visual cortex: Topological defects, their generation, motion, and annihilation.- Complex spiking behavior from noise-driven neuron interaction.- A new nonlinear model for pitch perception.- Statistical mechanics of network models of macroevolution and extinction.- Exact analytical results in a simple model of self-organized biological evolution.- Transition to chaos in models of genetic networks.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |