Computational Biochemistry And Biophysics
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Computational Biochemistry And Biophysics
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Author : Oren M. Becker
language : en
Publisher: CRC Press
Release Date : 2001-02-09
Computational Biochemistry And Biophysics written by Oren M. Becker and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-02-09 with Medical categories.
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
Algorithms In Structural Molecular Biology
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Author : Bruce R. Donald
language : en
Publisher: MIT Press
Release Date : 2023-08-15
Algorithms In Structural Molecular Biology written by Bruce R. Donald and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-15 with Science categories.
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.
Computer Simulation And Data Analysis In Molecular Biology And Biophysics
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Author : Victor Bloomfield
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-06-05
Computer Simulation And Data Analysis In Molecular Biology And Biophysics written by Victor Bloomfield and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-05 with Science categories.
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.
Computational Modeling Of Biological Systems
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Author : Nikolay V Dokholyan
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-02-12
Computational Modeling Of Biological Systems written by Nikolay V Dokholyan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-02-12 with Science categories.
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.
An Introduction To Computational Biochemistry
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Author : Tsai
language : en
Publisher: John Wiley & Sons
Release Date : 2007
An Introduction To Computational Biochemistry written by Tsai and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Market_Desc: · Primary: Students in Biochemistry, Bioinformatics, Biotechnology or Bioengineering, Computational Sciences, Chemistry, Molecular Biology· Secondary: Researchers in the above fields· Tertiary: Students and researchers in Computer science, Biomedical fields Special Features: · The book comprises of separate chapters that include problem sets and answers as well as an introduction, review of biological concepts, discussion of the programming and application, and key references· It also includes an appendix listing software suppliers· All programs cited in the book have been carefully chosen based on ease of installation and operation· Reviews the fundamental biochemical principles About The Book: This book provides a comprehensive introduction to biochemical principles and the skills required for applying computational tools to practical problems in biochemistry. It also details biochemical structures, enzyme reactions, metabolic simulation, genomic and proteomic analyses, and molecular modeling, as well as demonstrating the broad applications and versatility of computers for use in solving biochemical problems.
Computational Molecular Dynamics Challenges Methods Ideas
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Author : Peter Deuflhard
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Computational Molecular Dynamics Challenges Methods Ideas written by Peter Deuflhard and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
On May 21-24, 1997 the Second International Symposium on Algorithms for Macromolecular Modelling was held at the Konrad Zuse Zentrum in Berlin. The event brought together computational scientists in fields like biochemistry, biophysics, physical chemistry, or statistical physics and numerical analysts as well as computer scientists working on the advancement of algorithms, for a total of over 120 participants from 19 countries. In the course of the symposium, the speakers agreed to produce a representative volume that combines survey articles and original papers (all refereed) to give an impression of the present state of the art of Molecular Dynamics. The 29 articles of the book reflect the main topics of the Berlin meeting which were i) Conformational Dynamics, ii) Thermodynamic Modelling, iii) Advanced Time-Stepping Algorithms, iv) Quantum-Classical Simulations and Fast Force Field and v) Fast Force Field Evaluation.
Quantitative Understanding Of Biosystems
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Author : Thomas M. Nordlund
language : en
Publisher: CRC Press
Release Date : 2011-03-04
Quantitative Understanding Of Biosystems written by Thomas M. Nordlund and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-04 with Medical categories.
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
Alzheimer S Disease Biology Biophysics And Computational Models
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Author : Don Kulasiri
language : en
Publisher: World Scientific
Release Date : 2022-01-06
Alzheimer S Disease Biology Biophysics And Computational Models written by Don Kulasiri and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-06 with Medical categories.
Alzheimer's disease (AD) is the leading cause of dementia and, unfortunately, remains incurable. The social, emotional and financial implications of AD are immeasurable, and about 47 million people worldwide are affected by AD or other forms of dementia. As lifespans are improved by healthcare systems worldwide, age-associated neurodegenerative diseases are imposing an increasing challenge to science. It is becoming imperative for us to understand the causes of these diseases, AD in particular, at molecular and cellular levels. Starting with the broader picture from a biological perspective, this book takes the reader through fascinating dynamics within and outside of neurons in the brain.Alzheimer's Disease: Biology, Biophysics and Computational Models helps the reader to understand AD from mechanistic and biochemical perspectives at intra- and inter-cellular levels. It focuses on biochemical pathways and modeling associated with AD. Some of the recent research on biophysics and computational models related to AD are explained using context-driven computational and mathematical modeling and essential biology is discussed to understand the modeling research.
Combinatorics Of Genome Rearrangements
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Author : Guillaume Fertin
language : en
Publisher: MIT Press
Release Date : 2009
Combinatorics Of Genome Rearrangements written by Guillaume Fertin and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Combinatorial analysis categories.
A comprehensive survey of a rapidly expanding field of combinatorial optimization, mathematically oriented but offering biological explanations when required. From one cell to another, from one individual to another, and from one species to another, the content of DNA molecules is often similar. The organization of these molecules, however, differs dramatically, and the mutations that affect this organization are known as genome rearrangements. Combinatorial methods are used to reconstruct putative rearrangement scenarios in order to explain the evolutionary history of a set of species, often formalizing the evolutionary events that can explain the multiple combinations of observed genomes as combinatorial optimization problems. This book offers the first comprehensive survey of this rapidly expanding application of combinatorial optimization. It can be used as a reference for experienced researchers or as an introductory text for a broader audience. Genome rearrangement problems have proved so interesting from a combinatorial point of view that the field now belongs as much to mathematics as to biology. This book takes a mathematically oriented approach, but provides biological background when necessary. It presents a series of models, beginning with the simplest (which is progressively extended by dropping restrictions), each constructing a genome rearrangement problem. The book also discusses an important generalization of the basic problem known as the median problem, surveys attempts to reconstruct the relationships between genomes with phylogenetic trees, and offers a collection of summaries and appendixes with useful additional information.