Computational Biochemistry and Biophysics PDF Download
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Author: Oren M. Becker
Publisher: CRC Press
ISBN: 9780203903827
Category : Medical
Languages : en
Pages : 534
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Book Description
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
Author: Oren M. Becker
Publisher: CRC Press
ISBN: 9780203903827
Category : Medical
Languages : en
Pages : 534
Get Book Here
Book Description
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
Author: Oren M. Becker
Publisher: CRC Press
ISBN: 0824741404
Category : Science
Languages : en
Pages : 525
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Book Description
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.
Author: Carmen Domene
Publisher: Royal Society of Chemistry
ISBN: 1782626697
Category : Science
Languages : en
Pages : 275
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Book Description
Exploring current themes in modern computational and membrane protein biophysics, this book presents a comprehensive account of the fundamental principles underlying different methods and techniques used to describe the intriguing mechanisms by which membrane proteins function. The book discusses the experimental approaches employed to study these proteins, with chapters reviewing recent crucial structural advances that have allowed computational biophysicists to discern how these molecular machines work. The book then explores what computational methods are available to researchers and what these have taught us about three key families of membrane proteins: ion channels, transporters and receptors. The book is ideal for researchers in computational chemistry and computational biophysics.
Author: Bruce R. Donald
Publisher: MIT Press
ISBN: 0262548798
Category : Science
Languages : en
Pages : 497
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Book Description
An overview of algorithms important to computational structural biology that addresses such topics as NMR and design and analysis of proteins.Using the tools of information technology to understand the molecular machinery of the cell offers both challenges and opportunities to computational scientists. Over the past decade, novel algorithms have been developed both for analyzing biological data and for synthetic biology problems such as protein engineering. This book explains the algorithmic foundations and computational approaches underlying areas of structural biology including NMR (nuclear magnetic resonance); X-ray crystallography; and the design and analysis of proteins, peptides, and small molecules. Each chapter offers a concise overview of important concepts, focusing on a key topic in the field. Four chapters offer a short course in algorithmic and computational issues related to NMR structural biology, giving the reader a useful toolkit with which to approach the fascinating yet thorny computational problems in this area. A recurrent theme is understanding the interplay between biophysical experiments and computational algorithms. The text emphasizes the mathematical foundations of structural biology while maintaining a balance between algorithms and a nuanced understanding of experimental data. Three emerging areas, particularly fertile ground for research students, are highlighted: NMR methodology, design of proteins and other molecules, and the modeling of protein flexibility. The next generation of computational structural biologists will need training in geometric algorithms, provably good approximation algorithms, scientific computation, and an array of techniques for handling noise and uncertainty in combinatorial geometry and computational biophysics. This book is an essential guide for young scientists on their way to research success in this exciting field.
Author: Thomas M. Nordlund
Publisher: CRC Press
ISBN: 1439891133
Category : Medical
Languages : en
Pages : 578
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Book Description
Quantitative Understanding of Biosystems: An Introduction to Biophysics focuses on the behavior and properties of microscopic structures that underlie living systems. It clearly describes the biological physics of macromolecules, subcellular structures, and whole cells, including interactions with light.Providing broad coverage of physics, chemistr
Author: Eberhard O. Voit
Publisher: Cambridge University Press
ISBN: 9780521785792
Category : Medical
Languages : en
Pages : 556
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Book Description
Teaches the use of modern computational methods for the analysis of biomedical systems using case studies and accompanying software.
Author: Greg Conradi Smith
Publisher: Cambridge University Press
ISBN: 1107005361
Category : Mathematics
Languages : en
Pages : 395
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Book Description
What every neuroscientist should know about the mathematical modeling of excitable cells, presented at an introductory level.
Author: Clive R. Bagshaw
Publisher: CRC Press
ISBN: 1498727247
Category : Medical
Languages : en
Pages : 470
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Book Description
"a gem of a textbook which manages to produce a genuinely fresh, concise yet comprehensive guide" –Mark Leake, University of York "destined to become a standard reference.... Not just a ‘how to’ handbook but also an accessible primer in the essentials of kinetic theory and practice." –Michael Geeves, University of Kent "covers the entire spectrum of approaches, from the traditional steady state methods to a thorough account of transient kinetics and rapid reaction techniques, and then on to the new single molecule techniques" –Stephen Halford, University of Bristol This illustrated treatment explains the methods used for measuring how much a reaction gets speeded up, as well as the framework for solving problems such as ligand binding and macromolecular folding, using the step-by-step approach of numerical integration. It is a thoroughly modern text, reflecting the recent ability to observe reactions at the single-molecule level, as well as advances in microfluidics which have given rise to femtoscale studies. Kinetics is more important now than ever, and this book is a vibrant and approachable entry for anyone who wants to understand mechanism using transient or single molecule kinetics without getting bogged down in advanced mathematics. Clive R. Bagshaw is Emeritus Professor at the University of Leicester, U.K., and Research Associate at the University of California at Santa Cruz, U.S.A.
Author: Victor Bloomfield
Publisher: Springer Science & Business Media
ISBN: 1441900837
Category : Science
Languages : en
Pages : 325
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Book Description
This book provides an introduction to two important aspects of modern bioch- istry, molecular biology, and biophysics: computer simulation and data analysis. My aim is to introduce the tools that will enable students to learn and use some f- damental methods to construct quantitative models of biological mechanisms, both deterministicandwithsomeelementsofrandomness;tolearnhowconceptsofpr- ability can help to understand important features of DNA sequences; and to apply a useful set of statistical methods to analysis of experimental data. The availability of very capable but inexpensive personal computers and software makes it possible to do such work at a much higher level, but in a much easier way, than ever before. TheExecutiveSummaryofthein?uential2003reportfromtheNationalAcademy of Sciences, “BIO 2010: Transforming Undergraduate Education for Future - search Biologists” [12], begins The interplay of the recombinant DNA, instrumentation, and digital revolutions has p- foundly transformed biological research. The con?uence of these three innovations has led to important discoveries, such as the mapping of the human genome. How biologists design, perform, and analyze experiments is changing swiftly. Biological concepts and models are becoming more quantitative, and biological research has become critically dependent on concepts and methods drawn from other scienti?c disciplines. The connections between the biological sciences and the physical sciences, mathematics, and computer science are rapidly becoming deeper and more extensive.
Author: Nikolay V Dokholyan
Publisher: Springer Science & Business Media
ISBN: 1461421454
Category : Science
Languages : en
Pages : 360
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Book Description
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.
