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Book Computational Modeling And Simulations Of Biomolecular Systems

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).

Book Computational Modeling And Simulations Of Biomolecular Systems

Download or read book Computational Modeling And Simulations Of Biomolecular Systems written by Benoît Roux and published by . This book was released on 2021 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Computer Simulation of Biomolecular Systems

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 1997-11-30 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the third volume in this highly successful series. Since the first volume in 1989 and the second in 1993, many exciting developments have occurred in the development of simulation techniques and their application to key biological problems such as protein folding, protein structure prediction and structure-based design, and in how, by combining experimental and theoretical approaches, very large biological systems can be studied at the molecular level. This series attempts to capture that progress. Volume 3 includes contributions that highlight developments in methodology which enable longer and more realistic simulations (e.g. multiple time steps and variable reduction techniques), a study of force fields for proteins and new force field development, a novel approach to the description of molecular shape and the use of molecular shape descriptors, the study of condensed phase chemical reactions, the use of electrostatic techniques in the study of protonation, equilibria and flexible docking studies, structure refinement using experimental data (X-ray, NMR, neutron, infrared) and theoretical methods (solvation models, normal mode analysis, MD simulations, MC lattice dynamics, and knowledge-based potentials). There are several chapters that show progress in the development of methodologies for the study of folding processes, binding affinities, and the prediction of ligand-protein complexes. The chapters, contributed by experienced researchers, many of whom are leaders in their field of study, are organised to cover developments in: simulation methodology the treatment of electrostatics protein structure refinement the combined experimental and theoretical approaches to the study of very large biological systems applications and methodology involved in the study of protein folding applications and methodology associated with structure-based design.

Book Computational Modeling of Biomolecular Systems

Download or read book Computational Modeling of Biomolecular Systems written by Yu-Ming Mindy Huang and published by . This book was released on 2014 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: The opening of the 21st century has been marked as a generation of biological science. Nowadays, the understanding of the sequence and structure of biomolecules is growing rapidly. And researchers from multiple disciplines, chemistry, physics and computational science in particular, are making significant contributions to modern biology and drug discovery. The state-of-the-art techniques of computational chemistry and molecular modeling can be applied to study a wide range of chemical and biological systems of interest. This enables us to study structural details at the atomic level and obtain chemical/biological information which is not available by experimental measurements. This dissertation project focused on modeling the recognition mechanisms of biomolecules and their conjugated ligands. Multiple computational techniques, such as molecular dynamics simulation, entropy and free energy calculation were applied. The model systems included signaling domains (FHA, BRCT and WW domain), kinase (p38 kinase) and HIV protease. The details of the dynamics, interactions and correlations of domain-phosphopeptide systems were discovered. The free energy calculation, mining minima algorithm, was performed to study detailed conformational changes of kinase-ligand systems and predict protein-ligand binding energies. In addition, the association process of protein and ligand, which requires large simulation time scales, was also investigated. This project studies the details of protein-peptide/ligand binding and provides clues for further structure-based biomolecule/drug design.

Book Mathematical and Computational Modeling of Biomolecular Systems

Download or read book Mathematical and Computational Modeling of Biomolecular Systems written by Nathan Andrew Baker and published by . This book was released on 2001 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Computational Modeling of Biological Systems

Download or read book Computational Modeling of Biological Systems written by Nikolay V Dokholyan and published by Springer Science & Business Media. This book was released on 2012-02-12 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational modeling is emerging as a powerful new approach to study and manipulate biological systems. Multiple methods have been developed to model, visualize, and rationally alter systems at various length scales, starting from molecular modeling and design at atomic resolution to cellular pathways modeling and analysis. Higher time and length scale processes, such as molecular evolution, have also greatly benefited from new breeds of computational approaches. This book provides an overview of the established computational methods used for modeling biologically and medically relevant systems.

Book Computational Modeling of Biomolecular Systems  Molecular Mechanism of Membrane Binding of Peripheral Membrane Proteins

Download or read book Computational Modeling of Biomolecular Systems Molecular Mechanism of Membrane Binding of Peripheral Membrane Proteins written by Chun-Liang Lai and published by . This book was released on 2013 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Peripheral membrane targeting proteins play essential roles in numerous cellular trafficking and signaling pathways. At the molecular level, the interactions between lipids and protein side chains at the binding interfaces drive the membrane targeting. High-resolution techniques to describe the structure and dynamics of protein-membrane complex are valuable, however, detailed mechanistic analysis of membrane targeting events remains a great challenge. Molecular dynamics (MD) simulations have proven to be a useful tool in revealing molecular-level details at the binding interfaces. This thesis will describe the use of MD simulations, in some cases with experimental inputs, to investigate molecular membrane binding mechanisms for three biologically relevant peripheral membrane protein systems, including epsin N-terminal homology (ENTH), general receptor for phosphoinositides 1 (GRP1) PH, protein kinase C alpha (PKCalpha) C2 domains.

Book Computational Modeling of the Structure  Function and Dynamics of Biomolecular Systems

Download or read book Computational Modeling of the Structure Function and Dynamics of Biomolecular Systems written by Yashraj Kulkarni and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Biomolecular and Bioanalytical Techniques

Download or read book Biomolecular and Bioanalytical Techniques written by Vasudevan Ramesh and published by John Wiley & Sons. This book was released on 2019-06-10 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: An essential guide to biomolecular and bioanalytical techniques and their applications Biomolecular and Bioanalytical Techniques offers an introduction to, and a basic understanding of, a wide range of biophysical techniques. The text takes an interdisciplinary approach with contributions from a panel of distinguished experts. With a focus on research, the text comprehensively covers a broad selection of topics drawn from contemporary research in the fields of chemistry and biology. Each of the internationally reputed authors has contributed a single chapter on a specific technique. The chapters cover the specific technique’s background, theory, principles, technique, methodology, protocol and applications. The text explores the use of a variety of analytical tools to characterise biological samples. The contributors explain how to identify and quantify biochemically important molecules, including small molecules as well as biological macromolecules such as enzymes, antibodies, proteins, peptides and nucleic acids. This book is filled with essential knowledge and explores the skills needed to carry out the research and development roles in academic and industrial laboratories. A technique-focused book that bridges the gap between an introductory text and a book on advanced research methods Provides the necessary background and skills needed to advance the research methods Features a structured approach within each chapter Demonstrates an interdisciplinary approach that serves to develop independent thinking Written for students in chemistry, biological, medical, pharmaceutical, forensic and biophysical sciences, Biomolecular and Bioanalytical Techniques is an in-depth review of the most current biomolecular and bioanalytical techniques in the field.

Book Computer Simulation of Biomolecular Systems

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." ...

Book Computer Simulation of Biomolecular Systems

Download or read book Computer Simulation of Biomolecular Systems written by Alliant Computer Systems Corporation and published by Springer. This book was released on 1989-02-28 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Quantum Modeling of Complex Molecular Systems

Download or read book Quantum Modeling of Complex Molecular Systems written by Jean-Louis Rivail and published by Springer. This book was released on 2015-10-13 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: This multi-author contributed volume includes methodological advances and original applications to actual chemical or biochemical phenomena which were not possible before the increased sophistication of modern computers. The chapters contain detailed reviews of the developments of various computational techniques, used to study complex molecular systems such as molecular liquids and solutions (particularly aqueous solutions), liquid-gas, solid-gas interphase and biomacromolecular systems. Quantum modeling of complex molecular systems is a useful resource for graduate students and fledgling researchers and is also an excellent companion for research professionals engaged in computational chemistry, material science, nanotechnology, physics, drug design, and molecular biochemistry.

Book Theoretical Analysis of Biomolecular Systems

Download or read book Theoretical Analysis of Biomolecular Systems written by Oliver Lemke and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Multiscale Modeling of Complex Molecular Structure and Dynamics with MBN Explorer

Download or read book Multiscale Modeling of Complex Molecular Structure and Dynamics with MBN Explorer written by Ilia A. Solov’yov and published by Springer. This book was released on 2017-05-16 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to MesoBioNano (MBN) Explorer – a multi-purpose software package designed to model molecular systems at various levels of size and complexity. In addition, it presents a specially designed multi-task toolkit and interface – the MBN Studio – which enables the set-up of input files, controls the simulations, and supports the subsequent visualization and analysis of the results obtained. The book subsequently provides a systematic description of the capabilities of this universal and powerful software package within the framework of computational molecular science, and guides readers through its applications in numerous areas of research in bio- and chemical physics and material science – ranging from the nano- to the mesoscale. MBN Explorer is particularly suited to computing the system’s energy, to optimizing molecular structure, and to exploring the various facets of molecular and random walk dynamics. The package allows the use of a broad variety of interatomic potentials and can, e.g., be configured to select any subset of a molecular system as rigid fragments, whenever a significant reduction in the number of dynamical degrees of freedom is required for computational practicalities. MBN Studio enables users to easily construct initial geometries for the molecular, liquid, crystalline, gaseous and hybrid systems that serve as input for the subsequent simulations of their physical and chemical properties using MBN Explorer. Despite its universality, the computational efficiency of MBN Explorer is comparable to that of other, more specialized software packages, making it a viable multi-purpose alternative for the computational modeling of complex molecular systems. A number of detailed case studies presented in the second part of this book demonstrate MBN Explorer’s usefulness and efficiency in the fields of atomic clusters and nanoparticles, biomolecular systems, nanostructured materials, composite materials and hybrid systems, crystals, liquids and gases, as well as in providing modeling support for novel and emerging technologies. Last but not least, with the release of the 3rd edition of MBN Explorer in spring 2017, a free trial version will be available from the MBN Research Center website (mbnresearch.com).

Book Computer Simulation of Biomolecular Systems

Download or read book Computer Simulation of Biomolecular Systems written by W.F. van Gunsteren and published by Springer. This book was released on 1994-01-31 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 involving 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. Now that molecular dynamics of macromolecules is a flourishing field, serious questions have to be asked concerning what more can be done with the methodology. What is the present and the future role of molecular dynamics in the development of our knowledge of macromolecules of biological interest? How does the methodology need to be improved to make it applicable to important problems? The present volume is concerned with providing some answers with its primary focus on the methodology and its recent developments.

Book Biological Modeling and Simulation

Download or read book Biological Modeling and Simulation written by Russell Schwartz and published by MIT Press. This book was released on 2008-07-25 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practice-oriented survey of techniques for computational modeling and simulation suitable for a broad range of biological problems. There are many excellent computational biology resources now available for learning about methods that have been developed to address specific biological systems, but comparatively little attention has been paid to training aspiring computational biologists to handle new and unanticipated problems. This text is intended to fill that gap by teaching students how to reason about developing formal mathematical models of biological systems that are amenable to computational analysis. It collects in one place a selection of broadly useful models, algorithms, and theoretical analysis tools normally found scattered among many other disciplines. It thereby gives the aspiring student a bag of tricks that will serve him or her well in modeling problems drawn from numerous subfields of biology. These techniques are taught from the perspective of what the practitioner needs to know to use them effectively, supplemented with references for further reading on more advanced use of each method covered. The text, which grew out of a class taught at Carnegie Mellon University, covers models for optimization, simulation and sampling, and parameter tuning. These topics provide a general framework for learning how to formulate mathematical models of biological systems, what techniques are available to work with these models, and how to fit the models to particular systems. Their application is illustrated by many examples drawn from a variety of biological disciplines and several extended case studies that show how the methods described have been applied to real problems in biology.

Book Computational Bioengineering and Bioinformatics

Download or read book Computational Bioengineering and Bioinformatics written by Nenad Filipovic and published by Springer. This book was released on 2021-03-12 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the latest and most relevant topics in the field of computational bioengineering and bioinformatics, with a particular focus on patient-specific, disease-progression modeling. It covers computational methods for cardiovascular disease prediction, with an emphasis on biomechanics, biomedical decision support systems, data mining, personalized diagnostics, bio-signal processing, protein structure prediction, biomedical image processing, analysis and visualization, and high-performance computing. It also discusses state-of-the-art tools for disease characterization, and recent advances in areas such as biomechanics, cardiovascular engineering, patient-specific modeling, population-based modeling, multiscale modeling, image processing, data mining, biomedical decision-support systems, signal processing, biomaterials and dental biomechanics, tissue and cell engineering, computational chemistry and high-performance computing. As such, it is a valuable resource for researchers, medical and bioengineering students, and medical device and software experts