Molecular Modeling and Simulation

Molecular Modeling and Simulation

Author: Tamar Schlick

Publisher: Springer Science & Business Media

Published: 2013-04-18

Total Pages: 669

ISBN-13: 0387224645

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Very broad overview of the field intended for an interdisciplinary audience; Lively discussion of current challenges written in a colloquial style; Author is a rising star in this discipline; Suitably accessible for beginners and suitably rigorous for experts; Features extensive four-color illustrations; Appendices featuring homework assignments and reading lists complement the material in the main text


Protein Simulations

Protein Simulations

Author: Valerie Daggett

Publisher: Elsevier

Published: 2003-11-26

Total Pages: 477

ISBN-13: 0080493785

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Protein Simulation focuses on predicting how protein will act in vivo. These studies use computer analysis, computer modeling, and statistical probability to predict protein function.* Force Fields* Ligand Binding* Protein Membrane Simulation* Enzyme Dynamics* Protein Folding and unfolding simulations


Computational Biochemistry and Biophysics

Computational Biochemistry and Biophysics

Author: Oren M. Becker

Publisher: CRC Press

Published: 2001-02-09

Total Pages: 534

ISBN-13: 9780203903827

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Covering theoretical methods and computational techniques in biomolecular research, this book focuses on approaches for the treatment of macromolecules, including proteins, nucleic acids, and bilayer membranes. It uses concepts in free energy calculations, conformational analysis, reaction rates, and transition pathways to calculate and interpret b


Coarse-Grained Modeling of Biomolecules

Coarse-Grained Modeling of Biomolecules

Author: Garegin A. Papoian

Publisher: CRC Press

Published: 2017-10-30

Total Pages: 430

ISBN-13: 1466576170

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"The chapters in this book survey the progress in simulating biomolecular dynamics.... The images conjured up by this work are not yet universally loved, but are beginning to bring new insights into the study of biological structure and function. The future will decide whether this scientific movement can bring forth its Picasso or Modigliani." –from the Foreword by Peter G. Wolynes, Bullard-Welch Foundation Professor of Science, Rice University This book highlights the state-of-art in coarse-grained modeling of biomolecules, covering both fundamentals as well as various cutting edge applications. Coarse-graining of biomolecules is an area of rapid advances, with numerous new force fields having appeared recently and significant progress made in developing a systematic theory of coarse-graining. The contents start with first fundamental principles based on physics, then survey specific state-of-art coarse-grained force fields of proteins and nucleic acids, and provide examples of exciting biological problems that are at large scale, and hence, only amenable to coarse-grained modeling. Introduces coarse-grained models of proteins and nucleic acids. Showcases applications such as genome packaging in nuclei and understanding ribosome dynamics Gives the physical foundations of coarse-graining Demonstrates use of models for large-scale assemblies in modern studies Garegin A. Papoian is the first Monroe Martin Associate Professor with appointments in the Department of Chemistry and Biochemistry and the Institute for Physical Science and Technology at the University of Maryland.


Molecular Dynamics Simulation of Nanocomposites using BIOVIA Materials Studio, Lammps and Gromacs

Molecular Dynamics Simulation of Nanocomposites using BIOVIA Materials Studio, Lammps and Gromacs

Author: Sumit Sharma

Publisher: Elsevier

Published: 2019-08-09

Total Pages: 368

ISBN-13: 0128169559

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Molecular Dynamics Simulation of Nanocomposites using BIOVIA Materials Studio, Lammps and Gromacs presents the three major software packages used for the molecular dynamics simulation of nanocomposites. The book explains, in detail, how to use each of these packages, also providing real-world examples that show when each should be used. The latter two of these are open-source codes which can be used for modeling at no cost. Several case studies how each software package is used to predict various properties of nanocomposites, including metal-matrix, polymer-matrix and ceramic-matrix based nanocomposites. Properties explored include mechanical, thermal, optical and electrical properties. This is the first book that explores methodologies for using Materials Studio, Lammps and Gromacs in the same place. It will be beneficial for students, researchers and scientists working in the field of molecular dynamics simulation. - Gives a detailed explanation of basic commands and modules of Materials Studio, Lammps and Gromacs - Shows how Materials Studio, Lammps and Gromacs predict mechanical, thermal, electrical and optical properties of nanocomposites - Uses case studies to show which software should be used to solve a variety of nanoscale modeling problems


Homology Molecular Modeling

Homology Molecular Modeling

Author: Rafael Trindade Maia

Publisher: BoD – Books on Demand

Published: 2021-03-10

Total Pages: 147

ISBN-13: 1839628057

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Homology modeling is an extremely useful and versatile technique that is gaining more and more space and demand in research in computational and theoretical biology. This book, “Homology Molecular Modeling - Perspectives and Applications”, brings together unpublished chapters on this technique. In this book, 7 chapters are intimately related to the theme of molecular modeling, carefully selected and edited for academic and scientific readers. It is an indispensable read for anyone interested in the areas of bioinformatics and computational biology. Divided into 4 sections, the reader will have a didactic and comprehensive view of the theme, with updated and relevant concepts on the subject. This book was organized from researchers to researchers with the aim of spreading the fascinating area of molecular modeling by homology.


Computational Modeling And Simulations Of Biomolecular Systems

Computational Modeling And Simulations Of Biomolecular Systems

Author: Benoit Roux

Publisher: World Scientific

Published: 2021-08-23

Total Pages: 209

ISBN-13: 9811232776

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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).


Classical And Quantum Dynamics In Condensed Phase Simulations: Proceedings Of The International School Of Physics

Classical And Quantum Dynamics In Condensed Phase Simulations: Proceedings Of The International School Of Physics

Author: Bruce J Berne

Publisher: World Scientific

Published: 1998-06-17

Total Pages: 881

ISBN-13: 9814496057

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The school held at Villa Marigola, Lerici, Italy, in July 1997 was very much an educational experiment aimed not just at teaching a new generation of students the latest developments in computer simulation methods and theory, but also at bringing together researchers from the condensed matter computer simulation community, the biophysical chemistry community and the quantum dynamics community to confront the shared problem: the development of methods to treat the dynamics of quantum condensed phase systems.This volume collects the lectures delivered there. Due to the focus of the school, the contributions divide along natural lines into two broad groups: (1) the most sophisticated forms of the art of computer simulation, including biased phase space sampling schemes, methods which address the multiplicity of time scales in condensed phase problems, and static equilibrium methods for treating quantum systems; (2) the contributions on quantum dynamics, including methods for mixing quantum and classical dynamics in condensed phase simulations and methods capable of treating all degrees of freedom quantum-mechanically.


An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation

An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation

Author: Gregory R. Bowman

Publisher: Springer Science & Business Media

Published: 2013-12-02

Total Pages: 148

ISBN-13: 9400776063

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The aim of this book volume is to explain the importance of Markov state models to molecular simulation, how they work, and how they can be applied to a range of problems. The Markov state model (MSM) approach aims to address two key challenges of molecular simulation: 1) How to reach long timescales using short simulations of detailed molecular models. 2) How to systematically gain insight from the resulting sea of data. MSMs do this by providing a compact representation of the vast conformational space available to biomolecules by decomposing it into states sets of rapidly interconverting conformations and the rates of transitioning between states. This kinetic definition allows one to easily vary the temporal and spatial resolution of an MSM from high-resolution models capable of quantitative agreement with (or prediction of) experiment to low-resolution models that facilitate understanding. Additionally, MSMs facilitate the calculation of quantities that are difficult to obtain from more direct MD analyses, such as the ensemble of transition pathways. This book introduces the mathematical foundations of Markov models, how they can be used to analyze simulations and drive efficient simulations, and some of the insights these models have yielded in a variety of applications of molecular simulation.