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| Author | : S K Sarkar |
| Publisher | : Myprint |
| Total Pages | : 76 |
| Release | : 2016-04-20 |
| Genre | : |
| ISBN | : 9781681748436 |
| Author | : Susanta K. Sarkar |
| Publisher | : |
| Total Pages | : |
| Release | : 2016 |
| Genre | : SCIENCE |
| ISBN | : 9781681742441 |
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.
| Author | : Susanta K Sarkar |
| Publisher | : Morgan & Claypool Publishers |
| Total Pages | : 74 |
| Release | : 2016-04-01 |
| Genre | : Science |
| ISBN | : 1681741164 |
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.
| Author | : Yury A. Kutoyants |
| Publisher | : Springer Nature |
| Total Pages | : 683 |
| Release | : 2023-09-04 |
| Genre | : Mathematics |
| ISBN | : 3031370546 |
This book covers an extensive class of models involving inhomogeneous Poisson processes and deals with their identification, i.e. the solution of certain estimation or hypothesis testing problems based on the given dataset. These processes are mathematically easy-to-handle and appear in numerous disciplines, including astronomy, biology, ecology, geology, seismology, medicine, physics, statistical mechanics, economics, image processing, forestry, telecommunications, insurance and finance, reliability, queuing theory, wireless networks, and localisation of sources. Beginning with the definitions and properties of some fundamental notions (stochastic integral, likelihood ratio, limit theorems, etc.), the book goes on to analyse a wide class of estimators for regular and singular statistical models. Special attention is paid to problems of change-point type, and in particular cusp-type change-point models, then the focus turns to the asymptotically efficient nonparametric estimation of the mean function, the intensity function, and of some functionals. Traditional hypothesis testing, including some goodness-of-fit tests, is also discussed. The theory is then applied to three classes of problems: misspecification in regularity (MiR),corresponding to situations where the chosen change-point model and that of the real data have different regularity; optical communication with phase and frequency modulation of periodic intensity functions; and localization of a radioactive (Poisson) source on the plane using K detectors. Each chapter concludes with a series of problems, and state-of-the-art references are provided, making the book invaluable to researchers and students working in areas which actively use inhomogeneous Poisson processes.
| Author | : Daniel M. Zuckerman |
| Publisher | : CRC Press |
| Total Pages | : 356 |
| Release | : 2010-06-02 |
| Genre | : Mathematics |
| ISBN | : 1420073796 |
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
| Author | : Bernard H. Lavenda |
| Publisher | : Courier Dover Publications |
| Total Pages | : 385 |
| Release | : 2016-10-20 |
| Genre | : Science |
| ISBN | : 0486810313 |
Suitable for graduate students in chemical physics, statistical physics, and physical chemistry, this text develops an innovative, probabilistic approach to statistical mechanics. The treatment employs Gauss's principle and incorporates Bose-Einstein and Fermi-Dirac statistics to provide a powerful tool for the statistical analysis of physical phenomena. The treatment begins with an introductory chapter on entropy and probability that covers Boltzmann's principle and thermodynamic probability, among other topics. Succeeding chapters offer a case history of black radiation, examine quantum and classical statistics, and discuss methods of processing information and the origins of the canonical distribution. The text concludes with explorations of statistical equivalence, radiative and material phase transitions, and the kinetic foundations of Gauss's error law. Bibliographic notes complete each chapter.
| Author | : Kerson Huang |
| Publisher | : World Scientific |
| Total Pages | : 160 |
| Release | : 2005-05-30 |
| Genre | : Science |
| ISBN | : 9814481068 |
' 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 '
| Author | : C.V. Heer |
| Publisher | : Elsevier |
| Total Pages | : 619 |
| Release | : 2012-12-02 |
| Genre | : Science |
| ISBN | : 0323144411 |
Statistical Mechanics, Kinetic Theory, and Stochastic Processes presents the statistical aspects of physics as a "living and dynamic" subject. In order to provide an elementary introduction to kinetic theory, physical systems in which particle-particle interaction can be neglected are considered. Transport phenomena in the free-molecular flow region for gases and the transport of thermal radiation are discussed. Discrete random processes such as random walk, binomial and Poisson distributions, and throwing of dice are studied by means of the characteristic function. Comprised of 11 chapters, this book begins with an introduction to the mass point gas as well as some elementary properties of space and velocity distributions. The discussion then turns to radiation and its interaction with an atom; probability, statistics, and conditional probability; intermolecular interactions; transport phenomena; and statistical thermodynamics. Molecular systems at low densities are also considered, together with non-ideal and real gases; liquids and solids; and stochastic processes, noise, and fluctuations. In particular, the response of atoms and molecules to perturbations and scattering by crystals, liquids, and high-pressure gases are examined. This monograph will be useful for undergraduate students, practitioners, and researchers in physics.
| Author | : Richard Chace Tolman |
| Publisher | : |
| Total Pages | : 340 |
| Release | : 1927 |
| Genre | : Science |
| ISBN | : |
| Author | : Prof. Jan Hermans |
| Publisher | : John Wiley & Sons |
| Total Pages | : 0 |
| Release | : 2013-12-04 |
| Genre | : Science |
| ISBN | : 111847970X |
Progressively builds a deep understanding of macromolecular behavior Based on each of the authors' roughly forty years of biophysics research and teaching experience, this text instills readers with a deep understanding of the biophysics of macromolecules. It sets a solid foundation in the basics by beginning with core physical concepts such as thermodynamics, quantum chemical models, molecular structure and interactions, and water and the hydrophobic effect. Next, the book examines statistical mechanics, protein-ligand binding, and conformational stability. Finally, the authors address kinetics and equilibria, exploring underlying theory, protein folding, and stochastic models. With its strong emphasis on molecular interactions, Equilibria and Kinetics of Biological Macromolecules offers new insights and perspectives on proteins and other macromolecules. The text features coverage of: Basic theory, applications, and new research findings Related topics in thermodynamics, quantum mechanics, statistical mechanics, and molecular simulations Principles and applications of molecular simulations in a dedicated chapter and interspersed throughout the text Macromolecular binding equilibria from the perspective of statistical mechanics Stochastic processes related to macromolecules Suggested readings at the end of each chapter include original research papers, reviews and monographs, enabling readers to explore individual topics in greater depth. At the end of the text, ten appendices offer refreshers on mathematical treatments, including probability, computational methods, Poisson equations, and defining molecular boundaries. With its classroom-tested pedagogical approach, Equilibria and Kinetics of Biological Macromolecules is recommended as a graduate-level textbook for biophysics courses and as a reference for researchers who want to strengthen their understanding of macromolecular behavior.
