Computational Biochemistry and Biophysics

Computational Biochemistry and Biophysics
Author: Oren M. Becker,Alexander D. MacKerell Jr.,Benoit Roux,Masakatsu Watanabe
Publsiher: CRC Press
Total Pages: 525
Release: 2001-02-09
Genre: Science
ISBN: 9780824741402

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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 biomolecular properties gleaned from computer-generated membrane simulations. It also demonstrates comparative protein structure modeling, outlines computer-aided drug design, discusses Bayesian statistics in molecular and structural biology, and examines the RISM-SCF/MCSCF approach to chemical processes in solution.

Computational Biochemistry and Biophysics

Computational Biochemistry and Biophysics
Author: Oren M. Becker,Alexander D. MacKerell Jr.,Benoit Roux,Masakatsu Watanabe
Publsiher: CRC Press
Total Pages: 512
Release: 2001-02-09
Genre: Science
ISBN: 082470455X

Download Computational Biochemistry and Biophysics Book in PDF, Epub and Kindle

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 biomolecular properties gleaned from computer-generated membrane simulations. It also demonstrates comparative protein structure modeling, outlines computer-aided drug design, discusses Bayesian statistics in molecular and structural biology, and examines the RISM-SCF/MCSCF approach to chemical processes in solution.

An Introduction to Computational Biochemistry

An Introduction to Computational Biochemistry
Author: C. Stan Tsai
Publsiher: John Wiley & Sons
Total Pages: 381
Release: 2003-03-31
Genre: Science
ISBN: 9780471461098

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This comprehensive text offers a solid introduction to the biochemical principles and skills required for any researcher applying computational tools to practical problems in biochemistry. Each chapter includes an introduction to the topic, a review of the biological concepts involved, a discussion of the programming and applications used, key references, and problem sets and answers. Providing detailed coverage of biochemical structures, enzyme reactions, metabolic simulation, genomic and proteomic analyses, and molecular modeling, this is the perfect resource for students and researchers in biochemistry, bioinformatics, bioengineering and computational science.

Computational Methods in Molecular Biology

Computational Methods in Molecular Biology
Author: S.L. Salzberg,D.B. Searls,S. Kasif
Publsiher: Elsevier
Total Pages: 368
Release: 1998-06-19
Genre: Computers
ISBN: 0080860931

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Computational biology is a rapidly expanding field, and the number and variety of computational methods used for DNA and protein sequence analysis is growing every day. These algorithms are extremely valuable to biotechnology companies and to researchers and teachers in universities. This book explains the latest computer technology for analyzing DNA, RNA, and protein sequences. Clear and easy to follow, designed specifically for the non-computer scientist, it will help biologists make better choices on which algorithm to use. New techniques and demonstrations are elucidated, as are state-of-the-art problems, and more advanced material on the latest algorithms. The primary audience for this volume are molecular biologists working either in biotechnology companies or academic research environments, individual researchers and the institutions they work for, and students. Any biologist who relies on computers should want this book. A secondary audience will be computer scientists developing techniques with applications in biology. An excellent reference for leading techniques, it will also help introduce computer scientists to the biology problems. This is an outstanding work which will be ideal for the increasing number of scientists moving into computational biology.

Computational Modeling of Biological Systems

Computational Modeling of Biological Systems
Author: Nikolay V Dokholyan
Publsiher: Springer Science & Business Media
Total Pages: 366
Release: 2012-02-10
Genre: Science
ISBN: 9781461421467

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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.

Computational Approaches to Protein Dynamics

Computational Approaches to Protein Dynamics
Author: Monika Fuxreiter
Publsiher: CRC Press
Total Pages: 458
Release: 2014-12-24
Genre: Science
ISBN: 9781482297867

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The Latest Developments on the Role of Dynamics in Protein FunctionsComputational Approaches to Protein Dynamics: From Quantum to Coarse-Grained Methods presents modern biomolecular computational techniques that address protein flexibility/dynamics at all levels of theory. An international contingent of leading researchers in chemistry, physics, an

Biomembrane Simulations

Biomembrane Simulations
Author: Max L. Berkowitz
Publsiher: CRC Press
Total Pages: 258
Release: 2019-04-30
Genre: Science
ISBN: 9781351060301

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Due to recent advancements in the development of numerical algorithms and computational hardware, computer simulations of biological membranes, often requiring use of substantial computational resources, are now reaching a mature stage. Since molecular processes in membranes occur on a multitude of spatial and time scales, molecular simulations of membranes can also serve as a testing ground for use of multi-scale simulation techniques. This book addresses some of the important issues related to understanding properties and behavior of model biological membranes and it Shows how simulations improve our understanding of biological membranes and makes connections with experimental results. Presents a careful discussion of the force fields used in the membrane simulations including detailed all-atom fields and coarse-grained fields. Presents a continuum description of membranes. Discusses a variety of issues such as influence of membrane surfaces on properties of water, interaction between membranes across water, nanoparticle permeation across the membrane, action of anesthetics and creation of inhomogeneous regions in membranes. Discusses important methodological issues when using simulations to examine phenomena such as pore creation and permeation across membranes. Discusses progress recently achieved in modeling bacterial membranes. It will be a valuable resource for graduate students, researchers and instructors in biochemistry, biophysics, pharmacology, physiology, and computational biology.

Discovering Biomolecular Mechanisms with Computational Biology

Discovering Biomolecular Mechanisms with Computational Biology
Author: Frank Eisenhaber
Publsiher: Springer Science & Business Media
Total Pages: 152
Release: 2007-03-20
Genre: Science
ISBN: 9780387367477

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This anthology presents critical reviews of methods and high-impact applications in computational biology that lead to results that non-bioinformaticians must also know to design efficient experimental research plans. Discovering Biomolecular Mechanisms with Computational Biology explores the methodology of translating sequence strings into biological knowledge and considers exemplary groundbreaking results such as unexpected enzyme discoveries. This book also summarizes non-trivial theoretical predictions for regulatory and metabolic networks that have received experimental confirmation.