Physics Of Biological Systems
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Theoretical Physics for Biological Systems
Quantum physics provides the concepts and their mathematical formalization that lend themselves to describe important properties of biological networks topology, such as vulnerability to external stress and their dynamic response to changing physiological conditions. A theory of networks enhanced with mathematical concepts and tools of quantum physics opens a new area of biological physics, the one of systems biological physics.
Physics of Biological Systems
This book contains pedagogical introductions to a selection of the most exciting subjects in current biological physics: sorting DNA on a microchip: a first step towards miniature laboratories on a chip; modeling protein folding, structure, and motion; physics of organelles: mechanical characteristics of molecular motors; dynamics of microtubules; shapes of membranes, vesicles and cells; a physicist's view of brains and neurons; statistics of sensory signal processing; evolutionary biology of molecules; pattern forming bacterial colonies; model ecologies with Darwinian co-evolution. The book is aimed at graduate students and researchers in physics, biology and mathematical modeling who have no prior knowledge of its
Statistical Physics for Biological Matter
This book aims to cover a broad range of topics in statistical physics, including statistical mechanics (equilibrium and non-equilibrium), soft matter and fluid physics, for applications to biological phenomena at both cellular and macromolecular levels. It is intended to be a graduate level textbook, but can also be addressed to the interested senior level undergraduate. The book is written also for those involved in research on biological systems or soft matter based on physics, particularly on statistical physics. Typical statistical physics courses cover ideal gases (classical and quantum) and interacting units of simple structures. In contrast, even simple biological fluids are solutions of macromolecules, the structures of which are very complex. The goal of this book to fill this wide gap by providing appropriate content as well as by explaining the theoretical method that typifies good modeling, namely, the method of coarse-grained descriptions that extract the most salient features emerging at mesoscopic scales. The major topics covered in this book include thermodynamics, equilibrium statistical mechanics, soft matter physics of polymers and membranes, non-equilibrium statistical physics covering stochastic processes, transport phenomena and hydrodynamics. Generic methods and theories are described with detailed derivations, followed by applications and examples in biology. The book aims to help the readers build, systematically and coherently through basic principles, their own understanding of nonspecific concepts and theoretical methods, which they may be able to apply to a broader class of biological problems.