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Statistical Physics of Biomolecules by Daniel M. Zuckerman Pdf
From the hydrophobic effect to protein-ligand binding, statistical physics is relevant in almost all areas of molecular biophysics and biochemistry, making it essential for modern students of molecular behavior. But traditional presentations of this material are often difficult to penetrate. Statistical Physics of Biomolecules: An Introduction brin
Computational biology has developed rapidly during the last two decades following the genomic revolution which culminated in the sequencing of the human genome. More than ever it has developed into a field which embraces computational methods from different branches of the exact sciences: pure and applied mathematics, computer science, theoretical physics. This Second Edition provides a solid introduction to the techniques of statistical mechanics for graduate students and researchers in computational biology and biophysics. Material has been reorganized to clarify equilbrium and nonequilibrium aspects of biomolecular systems Content has been expanded, in particular in the treatment of the electrostatic interactions of biomolecules and the application of non-equilibrium statistical mechanics to biomolecules New network-based approaches for the study of proteins are presented. All treated topics are put firmly in the context of the current research literature, allowing the reader to easily follow an individual path into a specific research field. Exercises and Tasks accompany the presentations of the topics with the intention of enabling the readers to test their comprehension of the developed basic concepts.
Single Molecule Biophysics and Poisson Process Approach to Statistical Mechanics by Susanta K Sarkar Pdf
This is an overview of single molecule physics, the study of both equilibrium and non-equilibrium properties at the single molecule level. It begins with an introduction to this fascinating science and includes a chapter on how to build the most popular instrument for single molecule biophysics, the total internal reflection fluorescence (TIRF) microscope. It concludes with the Poisson process approach to statistical mechanics, explaining how to relate the process to diverse areas and see how data analysis and error bars are integral parts of science.
Quantitative methods have a particular knack for improving any field they touch. For biology, computational techniques have led to enormous strides in our understanding of biological systems, but there is still vast territory to cover. Statistical physics especially holds great potential for elucidating the structural-functional relationships in biomolecules, as well as their static and dynamic properties. Breaking New Ground Computational Biology: A Statistical Mechanics Perspective is the first book dedicated to the interface between statistical physics and bioinformatics. Introducing both equilibrium and nonequilibrium statistical mechanics in a manner tailored to computational biologists, the author applies these methods to understand and model the properties of various biomolecules and biological networks at the systems level. Unique Vision, Novel Approach Blossey combines his enthusiasm for uniting the fields of physics and computational biology with his considerable experience, knowledge, and gift for teaching. He uses numerous examples and tasks to illustrate and test understanding of the concepts, and he supplies a detailed keyword list for easy navigation and comprehension. His approach takes full advantage of the latest tools in statistical physics and computer science to build a strong set of tools for confronting new challenges in computational biology. Making the concepts crystal clear without sacrificing mathematical rigor, Computational Biology: A Statistical Mechanics Perspective is the perfect tool to broaden your skills in computational biology.
Statistical Mechanics in Physics and Biology: Volume 463 by Denis Wirtz,Thomas C. Halsey Pdf
Since statistical physics is a tool for the study not only of disordered physical systems, but of biological systems as well, this book from MRS focuses on both. While including physical problems such as fractals, pattern formation at first-order phase transitions, and glassy dynamics, the book also focuses on problems such as the statistical mechanics of DNA and DNA replications, structuring in biological systems, and problems in 'biologically inspired physics'. Topics include: statistical mechanics of proteins; statistical mechanics of DNA; biologically inspired physics; statistical mechanics in biology; micromanipulation in physics and biology; friction and fracture; statistical mechanics in physics and granular media.
Quantitative methods have a particular knack for improving any field they touch. For biology, computational techniques have led to enormous strides in our understanding of biological systems, but there is still vast territory to cover. Statistical physics especially holds great potential for elucidating the structural-functional relationships in biomolecules, as well as their static and dynamic properties.Breaking New GroundComputational Biology: A Statistical Mechanics Perspective is the first book dedicated to the interface between statistical physics and bioinformatics. Introducing both equilibrium and nonequilibrium statistical mechanics in a manner tailored to computational biologists, the author applies these methods to understand and model the properties of various biomolecules and biological networks at the systems level. Unique Vision, Novel ApproachBlossey combines his enthusiasm for uniting the fields of physics and computational biology with his considerable experience, knowledge, and gift for teaching. He uses numerous examples and tasks to illustrate and test understanding of the concepts, and he supplies a detailed keyword list for easy navigation and comprehension. His approach takes full advantage of the latest tools in statistical physics and computer science to build a strong set of tools for confronting new challenges in computational biology.Making the concepts crystal clear without sacrificing mathematical rigor, Computational Biology: A Statistical Mechanics Perspective is the perfect tool to broaden your skills in computational biology.
Statistical Physics I by Morikazu Toda,Ryogo Kubo,Nobuhiko Saito Pdf
Statistical Physics I discusses the fundamentals of equilibrium statistical mechanics, focussing on basic physical aspects. No previous knowledge of thermodynamics or the molecular theory of gases is assumed. Illustrative examples based on simple materials and photon systems elucidate the central ideas and methods.
Exploring Life Phenomena with Statistical Mechanics of Molecular Liquids by Fumio Hirata Pdf
In a living body, a variety of molecules are working in a concerted manner to maintain its life, and to carry forward the genetic information from generation to generation. A key word to understand such processes is "water," which plays an essential role in life phenomena. This book sheds light on life phenomena, which are woven by biomolecules as warp and water as weft, by means of statistical mechanics of molecular liquids, the RISM and 3D-RISM theories, both in equilibrium and non-equilibrium. A considerable number of pages are devoted to basics of mathematics and physics, so that students who have not majored in physics may be able to study the book by themselves. The book will also be helpful to those scientists seeking better tools for the computer-aided-drug-discovery. Explains basics of the statistical mechanics of molecular liquids, or RISM and 3D-RISM theories, and its application to water. Provides outline of the generalized Langevin theory and the linear response theory, and its application to dynamics of water. Applies the theories to functions of biomolecular systems. Applies the theories to the computer aided drug design. Provides a perspective for future development of the method.
Lectures on Statistical Physics and Protein Folding by Kerson Huang Pdf
' This book introduces an approach to protein folding from the point of view of kinetic theory. There is an abundance of data on protein folding, but few proposals are available on the mechanism driving the process. Here, presented for the first time, are suggestions on possible research directions, as developed by the author in collaboration with C C Lin. The first half of this invaluable book contains a concise but relatively complete review of relevant topics in statistical mechanics and kinetic theory. It includes standard topics such as thermodynamics, the Maxwell-Boltzmann distribution, and ensemble theory. Special discussions include the dynamics of phase transitions, and Brownian motion as an illustration of stochastic processes. The second half develops topics in molecular biology and protein structure, with a view to discovering mechanisms underlying protein folding. Attention is focused on the energy flow through the protein in its folded state. A mathematical model, based on the Brownian motion of coupled harmonic oscillators, is worked out in the appendix. Contents:EntropyMaxwell–Boltzmann DistributionFree EnergyChemical PotentialPhase TransitionsKinetics of Phase TransitionsThe Order ParameterCorrelation FunctionStochastic ProcessesLangevin EquationThe Life ProcessSelf-AssemblyKinetics of Protein FoldingPower Laws in Protein FoldingSelf-Avoiding Walk and TurbulenceConvergent Evolution in Protein Folding Readership: Graduate students, researchers and academics interested in statistical physics and molecular biology. Keywords:Statistical Physics;Protein Folding;BiophysicsReviews:“My particularly favorite is the chapter on order parameters, explaining with simplicity and clarity this subject so frequently difficult and confusing for the beginning students … the book makes a strong attempt to place the protein folding problem where it really belongs — in the context of fundamental statistical mechanics. Whether the attempt is successful or not is a matter of a reader's opinion, but the very direction is both timely and welcome.”Professor Alexander Grosberg University of Minnesota '
This book provides a comprehensive presentation of the basics of statistical physics. The first part explains the essence of statistical physics and how it provides a bridge between microscopic and macroscopic phenomena, allowing one to derive quantities such as entropy. Here the author avoids going into details such as Liouville’s theorem or the ergodic theorem, which are difficult for beginners and unnecessary for the actual application of the statistical mechanics. In the second part, statistical mechanics is applied to various systems which, although they look different, share the same mathematical structure. In this way readers can deepen their understanding of statistical physics. The book also features applications to quantum dynamics, thermodynamics, the Ising model and the statistical dynamics of free spins.
Physics of Bio-Molecules and Cells by Henrik Flyvbjerg,Frank Jülicher,Pal Ormos,Francois David Pdf
Aimed at those working to enter this rapidly developing field, this volume on biological physics is written in a pedagogical style by leading scientists giving explanations that take their starting point where any physicist can follow and end at the frontier of research in biological physics. These lectures describe the state-of-the-art physics of biomolecules and cells. In biological systems ranging from single biomolecules to entire cells and larger biological systems, it focuses on aspects that require concepts and methods from physics for their analysis and understanding, such as the mechanics of motor proteins; how the genetic code is physically read and managed; the machinery of protein--DNA interactions; force spectroscopy of biomolecules' velopes, cytoskeletons, and cytoplasms; polymerization forces; listeria propulsion; cell motility; lab-on-a-chip nanotechnology for single-molecule analysis of biomolecules; bioinformatics; and coding and computational strategies of the brain.
