Download or read book Stochastic Dynamics and Energetics of Biomolecular Systems written by Artem Ryabov and published by Springer. This book was released on 2015-11-28 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis both broadens and deepens our understanding of the Brownian world. It addresses new problems in diffusion theory that have recently attracted considerable attention, both from the side of nanotechnology and from the viewpoint of pure academic research. The author focusses on the difussion of interacting particles in restricted geometries and under externally controlled forces. These geometries serve, for example, to model ion transport through narrow channels in cell membranes or a Brownian particle diffusing in an optical trap, now a paradigm for both theory and experiment. The work is exceptional in obtaining explicit analytically formulated answers to such realistic, experimentally relevant questions. At the same time, with its detailed exposition of the problems and a complete set of references, it presents a clear and broadly accessible introduction to the domain. Many of the problem settings and the corresponding exact asymptotic laws are completely new in diffusion theory.
Download or read book Stochastic Dynamics in Biomolecular Systems written by Yann von Hansen and published by . This book was released on 2013 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Stochastic Dynamics Of Reacting Biomolecules written by Werner Ebeling and published by World Scientific. This book was released on 2003-01-29 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a book about the physical processes in reacting complex molecules, particularly biomolecules. In the past decade scientists from different fields such as medicine, biology, chemistry and physics have collected a huge amount of data about the structure, dynamics and functioning of biomolecules. Great progress has been achieved in exploring the structure of complex molecules. However, there is still a lack of understanding of the dynamics and functioning of biological macromolecules. In particular this refers to enzymes, which are the basic molecular machines working in living systems. This book contributes to the exploration of the physical mechanisms of these processes, focusing on critical aspects such as the role of nonlinear excitations and of stochastic effects. An extensive range of original results has been obtained in the last few years by the authors, and these results are presented together with a comprehensive survey of the state of the art in the field.
Download or read book Stochastic Energetics written by Ken Sekimoto and published by Springer. This book was released on 2010-03-10 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic Energetics by now commonly designates the emerging field that bridges the gap between stochastic dynamical processes and thermodynamics. Triggered by the vast improvements in spatio-temporal resolution in nanotechnology, stochastic energetics develops a framework for quantifying individual realizations of a stochastic process on the mesoscopic scale of thermal fluctuations. This is needed to answer such novel questions as: Can one cool a drop of water by agitating an immersed nano-particle? How does heat flow if a Brownian particle pulls a polymer chain? Can one measure the free-energy of a system through a single realization of the associated stochastic process? This book will take the reader gradually from the basics to the applications: Part I provides the necessary background from stochastic dynamics (Langevin, master equation), Part II introduces how stochastic energetics describes such basic notions as heat and work on the mesoscopic scale, Part III details several applications, such as control and detection processes, as well as free-energy transducers. It aims in particular at researchers and graduate students working in the fields of nanoscience and technology.
Download or read book Stochastic Modeling of Biomolecular Systems Using the Data driven Langevin Equation written by Norbert Schaudinnus and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Zusammenfassung: Nowadays, molecular dynamics (MD) simulations are widely used to understand the dynamics of biomolecular systems.Although MD simulations provide a description in atomistic detail, they are limited with respect to both system size and simulation time for computational reasons.However, dynamics which take place on rather long time scales can often be captured along few collective coordinates.The data-driven Langevin Equation (dLE) is a systematic approach to capture dynamical information in this reduced space, establishing local field estimates from an underlying time series.These fields are in turn used to propagate dynamics.The dLE therefore relies on a clear timescale separation of a low-dimensional coordinate that enables to treat the remaining degrees of freedom as a stochastic bath.This thesis focuses on the characteristics and capabilities of the dLE approach. The property of the dLE to operate in a self-consistent manner can be applied to test the validity of the model assumptions.In particular, an important extension of the dLE is developed which accounts for inertia effects.This more generalized form of the dLE is shown to suitably recover the conformational dynamics of a small peptide system, showing a nontrivial dynamical behavior.Aside from establishing a technical guideline on how to construct a dLE model and verify its functionality, several promising applications are demonstrated.For instance, a dLE-based enhanced sampling scheme is introduced which facilitates to forecast the long-time behavior of a reduced system from short spatially overlapping trajectory samples
Download or read book Computational Modeling And Simulations Of Biomolecular Systems written by Benoit Roux and published by World Scientific. This book was released on 2021-08-23 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook originated from the course 'Simulation, Modeling, and Computations in Biophysics' that I have taught at the University of Chicago since 2011. The students typically came from a wide range of backgrounds, including biology, physics, chemistry, biochemistry, and mathematics, and the course was intentionally adapted for senior undergraduate students and graduate students. This is not a highly technical book dedicated to specialists. The objective is to provide a broad survey from the physical description of a complex molecular system at the most fundamental level, to the type of phenomenological models commonly used to represent the function of large biological macromolecular machines.The key conceptual elements serving as building blocks in the formulation of different levels of approximations are introduced along the way, aiming to clarify as much as possible how they are interrelated. The only assumption is a basic familiarity with simple mathematics (calculus and integrals, ordinary differential equations, matrix linear algebra, and Fourier-Laplace transforms).
Download or read book Stochastic and Quantum Dynamics of Biomolecular Systems written by Christopher Bernido and published by American Institute of Physics. This book was released on 2008-06-25 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conference Location and Date: Jagna, Bohol, Philippines, 3-5 January 2008
Download or read book Stochastic Dynamics for Systems Biology written by Christian Mazza and published by CRC Press. This book was released on 2016-04-19 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic Dynamics for Systems Biology is one of the first books to provide a systematic study of the many stochastic models used in systems biology. The book shows how the mathematical models are used as technical tools for simulating biological processes and how the models lead to conceptual insights on the functioning of the cellular processing
Download or read book Biomolecular Structure and Dynamics written by G. Vergoten and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomolecular Structure and Dynamics describes recent fundamental advances in the experimental and theoretical study of molecular dynamics and stochastic dynamic simulations, X-ray crystallography and NMR of biomolecules, the structure of proteins and its prediction, time resolved Fourier transform IR spectroscopy of biomolecules, the computation of free energy, applications of vibrational CD of nucleic acids, and solid state NMR. Further presentations include recent advances in UV resonance Raman spectroscopy of biomolecules, semiempirical MO methods, empirical force fields, quantitative studies of the structure of proteins in water by Fourier transform IR, and density functional theory. Metal-ligand interactions, DFT treatment of organometallic and biological systems, and simulation vs. X-ray and far IR experiments are also discussed in some detail. The book provides a broad perspective of the current theoretical aspects and recent experimental findings in the field of biomolecular dynamics, revealing future research trends, especially in areas where theoreticians and experimentalists could fruitfully collaborate.
Download or read book Biomolecular Feedback Systems written by Domitilla Del Vecchio and published by Princeton University Press. This book was released on 2014-10-26 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an accessible introduction to the principles and tools for modeling, analyzing, and synthesizing biomolecular systems. It begins with modeling tools such as reaction-rate equations, reduced-order models, stochastic models, and specific models of important core processes. It then describes in detail the control and dynamical systems tools used to analyze these models. These include tools for analyzing stability of equilibria, limit cycles, robustness, and parameter uncertainty. Modeling and analysis techniques are then applied to design examples from both natural systems and synthetic biomolecular circuits. In addition, this comprehensive book addresses the problem of modular composition of synthetic circuits, the tools for analyzing the extent of modularity, and the design techniques for ensuring modular behavior. It also looks at design trade-offs, focusing on perturbations due to noise and competition for shared cellular resources. Featuring numerous exercises and illustrations throughout, Biomolecular Feedback Systems is the ideal textbook for advanced undergraduates and graduate students. For researchers, it can also serve as a self-contained reference on the feedback control techniques that can be applied to biomolecular systems. Provides a user-friendly introduction to essential concepts, tools, and applications Covers the most commonly used modeling methods Addresses the modular design problem for biomolecular systems Uses design examples from both natural systems and synthetic circuits Solutions manual (available only to professors at press.princeton.edu) An online illustration package is available to professors at press.princeton.edu
Download or read book Coarse Graining of Condensed Phase and Biomolecular Systems written by Gregory A. Voth and published by CRC Press. This book was released on 2008-09-22 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring recent developments in the field, Coarse-Graining of Condensed Phase and Biomolecular Systems examines systematic ways of constructing coarse-grained representations for complex systems. It explains how this approach can be used in the simulation and modeling of condensed phase and biomolecular systems. Assembling some of the most influential, world-renowned researchers in the field, this book covers the latest developments in the coarse-grained molecular dynamics simulation and modeling of condensed phase and biomolecular systems. Each chapter focuses on specific examples of evolving coarse-graining methodologies and presents results for a variety of complex systems. The contributors discuss the minimalist, inversion, and multiscale approaches to coarse-graining, along with the emerging challenges of coarse-graining. They also connect atomic-level information with new coarse-grained representations of complex systems, such as lipid bilayers, proteins, peptides, and DNA.
Download or read book Dynamic Systems Biology Modeling and Simulation written by Joseph DiStefano III and published by Academic Press. This book was released on 2015-01-10 with total page 886 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic Systems Biology Modeling and Simuation consolidates and unifies classical and contemporary multiscale methodologies for mathematical modeling and computer simulation of dynamic biological systems – from molecular/cellular, organ-system, on up to population levels. The book pedagogy is developed as a well-annotated, systematic tutorial – with clearly spelled-out and unified nomenclature – derived from the author’s own modeling efforts, publications and teaching over half a century. Ambiguities in some concepts and tools are clarified and others are rendered more accessible and practical. The latter include novel qualitative theory and methodologies for recognizing dynamical signatures in data using structural (multicompartmental and network) models and graph theory; and analyzing structural and measurement (data) models for quantification feasibility. The level is basic-to-intermediate, with much emphasis on biomodeling from real biodata, for use in real applications. Introductory coverage of core mathematical concepts such as linear and nonlinear differential and difference equations, Laplace transforms, linear algebra, probability, statistics and stochastics topics The pertinent biology, biochemistry, biophysics or pharmacology for modeling are provided, to support understanding the amalgam of “math modeling” with life sciences Strong emphasis on quantifying as well as building and analyzing biomodels: includes methodology and computational tools for parameter identifiability and sensitivity analysis; parameter estimation from real data; model distinguishability and simplification; and practical bioexperiment design and optimization Companion website provides solutions and program code for examples and exercises using Matlab, Simulink, VisSim, SimBiology, SAAMII, AMIGO, Copasi and SBML-coded models A full set of PowerPoint slides are available from the author for teaching from his textbook. He uses them to teach a 10 week quarter upper division course at UCLA, which meets twice a week, so there are 20 lectures. They can easily be augmented or stretched for a 15 week semester course Importantly, the slides are editable, so they can be readily adapted to a lecturer’s personal style and course content needs. The lectures are based on excerpts from 12 of the first 13 chapters of DSBMS. They are designed to highlight the key course material, as a study guide and structure for students following the full text content The complete PowerPoint slide package (~25 MB) can be obtained by instructors (or prospective instructors) by emailing the author directly, at: [email protected]
Download or read book Biomolecular Simulations in Structure Based Drug Discovery written by Francesco L. Gervasio and published by John Wiley & Sons. This book was released on 2019-01-04 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to applying the power of modern simulation tools to better drug design Biomolecular Simulations in Structure-based Drug Discovery offers an up-to-date and comprehensive review of modern simulation tools and their applications in real-life drug discovery, for better and quicker results in structure-based drug design. The authors describe common tools used in the biomolecular simulation of drugs and their targets and offer an analysis of the accuracy of the predictions. They also show how to integrate modeling with other experimental data. Filled with numerous case studies from different therapeutic fields, the book helps professionals to quickly adopt these new methods for their current projects. Experts from the pharmaceutical industry and academic institutions present real-life examples for important target classes such as GPCRs, ion channels and amyloids as well as for common challenges in structure-based drug discovery. Biomolecular Simulations in Structure-based Drug Discovery is an important resource that: -Contains a review of the current generation of biomolecular simulation tools that have the robustness and speed that allows them to be used as routine tools by non-specialists -Includes information on the novel methods and strategies for the modeling of drug-target interactions within the framework of real-life drug discovery and development -Offers numerous illustrative case studies from a wide-range of therapeutic fields -Presents an application-oriented reference that is ideal for those working in the various fields Written for medicinal chemists, professionals in the pharmaceutical industry, and pharmaceutical chemists, Biomolecular Simulations in Structure-based Drug Discovery is a comprehensive resource to modern simulation tools that complement and have the potential to complement or replace laboratory assays for better results in drug design.
Download or read book Model Order Reduction for Stochastic Models of Biomolecular Systems with Time scale Separation written by Narmada Kumari Herath and published by . This book was released on 2018 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomolecular systems often involve reactions that take place on different time-scales, giving rise to 'slow' and 'fast' system variables. This property is widely used in the analysis of systems to obtain dynamical models with reduced dimensions. In deterministic systems, methods to obtain such reduced-order models are well defined by the singular perturbation or averaging techniques. However, model reduction of stochastic systems remains an ongoing area of research. In particular, existing model reduction methods for stochastic models of biomolecular systems lack rigorous error quantifications between the full and reduced dynamics. Furthermore, they only provide approximations for the slow variable dynamics, making the application of such methods to biomolecular systems difficult since the variables of interest are typically mixed (i.e., they encompass both fast and slow variables). In this thesis, we consider biomolecular systems modeled using the chemical Langevin equation (CLE) and the Linear Noise Approximation (LNA). Specifically, we consider biomolecular systems with linear propensity functions modeled by the CLE and systems with arbitrary propensity functions modeled by the LNA. For these systems, we obtain reduced-order models that approximate both the slow and fast variables under time-scale separation conditions. In particular, with suitable assumptions, we prove that the moments of the reduced-order models converge to those of the full systems as the time-scale separation becomes large. Our results further provide a rigorous justification for the accuracy of the stochastic total quasi-steady state approximation (tQSSA). We then consider two applications of these reduced-order models. In the first application, we analyze the trade-offs between modularity and signal noise in biomolecular networks. In the second application, we consider the application of the reduced-order LNA developed in this work to obtain reduced-order stochastic models for gene-regulatory networks.
Download or read book Dynamics Structure and Function of Biological Macromolecules written by Oleg Jardetzky and published by IOS Press. This book was released on 2001 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: A collection of articles looking at modern structural biology, summarizing the applications of physical methods - such as x-ray diffraction, high resolution nuclear magnetic resonance and molecular dynamics - to the study of protein structure and dynamics. There is a review of contemporary thoughts within the field, looking at the mechanisms of alloateric transitions and allosteric control, the transmission of information within protein structures and the role of dynamics in determining the specificity of protein - ligand interactions. There is also a look at future innovations.
Download or read book Compendium of Biophysics written by Andrey B. Rubin and published by John Wiley & Sons. This book was released on 2017-07-21 with total page 662 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most thorough coverage of biophysics available, in a handy, easy-to-read volume, perfect as a reference for experienced engineers or as a textbook for the novice. Following up on his first book, Fundamentals of Biophysics, the author, a well-known scientist in this area, builds on that foundation by offering the biologist or scientist an advanced, comprehensive coverage of biophysics. Structuring the book into four major parts, he thoroughly covers the biophysics of complex systems, such as the kinetics and thermodynamic processes of biological systems, in the first part. The second part is dedicated to molecular biophysics, such as biopolymers and proteins, and the third part is on the biophysics of membrane processes. The final part is on photobiological processes. This ambitious work is a must-have for the veteran biologist, scientist, or chemist working in this field, and for the novice or student, who is interested in learning about biophysics. It is an emerging field, becoming increasingly more important, the more we learn about and develop the science. No library on biophysics is complete without this text and its precursor, both available from Wiley-Scrivener.
Download or read book Computer Simulation of Biomolecular Systems written by W.F. van Gunsteren and published by Springer Science & Business Media. This book was released on 2013-11-27 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: The third volume in the series on Computer Simulation of Biomolecular Systems continues with the format introduced in the first volume [1] and elaborated in the second volume [2]. The primary emphasis is on the methodological aspects of simulations, although there are some chapters that present the results obtained for specific systems of biological interest. The focus of this volume has changed somewhat since there are several chapters devoted to structure-based ligand design, which had only a single chapter in the second volume. It seems useful to set the stage for this volume by quoting from my preface to Volume 2 [2]. "The long-range 'goal of molecular approaches to biology is to describe living systems in terms of chemistry and physics. Over the last fifty years great progress has been made in applying the equations representing the underlying physical laws to chemical problems involv ing the structures and reactions of small molecules. Corresponding studies of mesoscopic systems have been undertaken much more recently. Molecular dynamics simulations, which are the primary focus of this volume, represent the most important theoretical approach to macromolecules of biological interest." ...
