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Computational Methods For Protein Structure Prediction And Modeling Basic Characterization

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Computational Methods For Protein Structure Prediction And Modeling

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Author : Ying Xu
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-08-24

Computational Methods For Protein Structure Prediction And Modeling written by Ying Xu 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 2007-08-24 with Science categories.

Volume One of this two-volume sequence focuses on the basic characterization of known protein structures, and structure prediction from protein sequence information. Eleven chapters survey of the field, covering key topics in modeling, force fields, classification, computational methods, and structure prediction. Each chapter is a self contained review covering definition of the problem and historical perspective; mathematical formulation; computational methods and algorithms; performance results; existing software; strengths, pitfalls, challenges, and future research.

Computational Methods For Protein Structure Prediction And Modeling

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Author : Ying Xu
language : en
Publisher: Springer
Release Date : 2006-12-15

Computational Methods For Protein Structure Prediction And Modeling written by Ying Xu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-12-15 with Science categories.

Computational Methods For Protein Structure Prediction And Modeling

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Author : Ying Xu
language : en
Publisher: Springer
Release Date : 2010-11-29

Computational Methods For Protein Structure Prediction And Modeling Basic Characterization

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Author :
language : en
Publisher:
Release Date : 2007

Computational Methods For Protein Structure Prediction And Modeling Basic Characterization written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computational biology categories.

From Protein Structure To Function With Bioinformatics

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Author : Daniel John Rigden
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-12-11

From Protein Structure To Function With Bioinformatics written by Daniel John Rigden 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 2008-12-11 with Science categories.

Proteins lie at the heart of almost all biological processes and have an incredibly wide range of activities. Central to the function of all proteins is their ability to adopt, stably or sometimes transiently, structures that allow for interaction with other molecules. An understanding of the structure of a protein can therefore lead us to a much improved picture of its molecular function. This realisation has been a prime motivation of recent Structural Genomics projects, involving large-scale experimental determination of protein structures, often those of proteins about which little is known of function. These initiatives have, in turn, stimulated the massive development of novel methods for prediction of protein function from structure. Since model structures may also take advantage of new function prediction algorithms, the first part of the book deals with the various ways in which protein structures may be predicted or inferred, including specific treatment of membrane and intrinsically disordered proteins. A detailed consideration of current structure-based function prediction methodologies forms the second part of this book, which concludes with two chapters, focusing specifically on case studies, designed to illustrate the real-world application of these methods. With bang up-to-date texts from world experts, and abundant links to publicly available resources, this book will be invaluable to anyone who studies proteins and the endlessly fascinating relationship between their structure and function.

Introduction To Protein Structure Prediction

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Author : Huzefa Rangwala
language : en
Publisher: John Wiley & Sons
Release Date : 2011-03-16

Introduction To Protein Structure Prediction written by Huzefa Rangwala 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 2011-03-16 with Science categories.

A look at the methods and algorithms used to predict protein structure A thorough knowledge of the function and structure of proteins is critical for the advancement of biology and the life sciences as well as the development of better drugs, higher-yield crops, and even synthetic bio-fuels. To that end, this reference sheds light on the methods used for protein structure prediction and reveals the key applications of modeled structures. This indispensable book covers the applications of modeled protein structures and unravels the relationship between pure sequence information and three-dimensional structure, which continues to be one of the greatest challenges in molecular biology. With this resource, readers will find an all-encompassing examination of the problems, methods, tools, servers, databases, and applications of protein structure prediction and they will acquire unique insight into the future applications of the modeled protein structures. The book begins with a thorough introduction to the protein structure prediction problem and is divided into four themes: a background on structure prediction, the prediction of structural elements, tertiary structure prediction, and functional insights. Within those four sections, the following topics are covered: Databases and resources that are commonly used for protein structure prediction The structure prediction flagship assessment (CASP) and the protein structure initiative (PSI) Definitions of recurring substructures and the computational approaches used for solving sequence problems Difficulties with contact map prediction and how sophisticated machine learning methods can solve those problems Structure prediction methods that rely on homology modeling, threading, and fragment assembly Hybrid methods that achieve high-resolution protein structures Parts of the protein structure that may be conserved and used to interact with other biomolecules How the loop prediction problem can be used for refinement of the modeled structures The computational model that detects the differences between protein structure and its modeled mutant Whether working in the field of bioinformatics or molecular biology research or taking courses in protein modeling, readers will find the content in this book invaluable.

Computational Structural Biology

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Author : Manuel Claude Peitsch
language : en
Publisher: World Scientific
Release Date : 2008

Computational Structural Biology written by Manuel Claude Peitsch and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Science categories.

This work covers the impact of computational structural biology on protein structure prediction methods, macromolecular function and protein design, and key methods in drug discovery. It also addresses the computational challenges of experimental approaches in structural biology.

Structural Bioinformatics

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Author : Jenny Gu
language : en
Publisher: John Wiley & Sons
Release Date : 2009-03-16

Structural Bioinformatics written by Jenny Gu 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 2009-03-16 with Science categories.

Structural Bioinformatics was the first major effort to show the application of the principles and basic knowledge of the larger field of bioinformatics to questions focusing on macromolecular structure, such as the prediction of protein structure and how proteins carry out cellular functions, and how the application of bioinformatics to these life science issues can improve healthcare by accelerating drug discovery and development. Designed primarily as a reference, the first edition nevertheless saw widespread use as a textbook in graduate and undergraduate university courses dealing with the theories and associated algorithms, resources, and tools used in the analysis, prediction, and theoretical underpinnings of DNA, RNA, and proteins. This new edition contains not only thorough updates of the advances in structural bioinformatics since publication of the first edition, but also features eleven new chapters dealing with frontier areas of high scientific impact, including: sampling and search techniques; use of mass spectrometry; genome functional annotation; and much more. Offering detailed coverage for practitioners while remaining accessible to the novice, Structural Bioinformatics, Second Edition is a valuable resource and an excellent textbook for a range of readers in the bioinformatics and advanced biology fields. Praise for the previous edition: "This book is a gold mine of fundamental and practical information in an area not previously well represented in book form." —Biochemistry and Molecular Education "... destined to become a classic reference work for workers at all levels in structural bioinformatics...recommended with great enthusiasm for educators, researchers, and graduate students." —BAMBED "...a useful and timely summary of a rapidly expanding field." —Nature Structural Biology "...a terrific job in this timely creation of a compilation of articles that appropriately addresses this issue." —Briefings in Bioinformatics

Protein Structure

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Author : Harold A. Scheraga
language : en
Publisher: Academic Press
Release Date : 2014-07-01

Protein Structure written by Harold A. Scheraga and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-01 with Technology & Engineering categories.

Protein Structure deals with the chemistry and physics of biologically important molecules—the proteins—particularly the determination of the structure of various proteins, their thermodynamics, their kinetics, and the mechanisms of different reactions of individual proteins. The book approaches the study of protein structure in two ways: firstly, by determining the general features of protein structure, the overall size, and shape of the molecule; and secondly, by investigating the molecule internally along with the various aspects of the internal configuration of protein molecules. It describes in detail experimental methods for determining protein structure in solution, such as the hydrodynamic method, the thermodynamic optical method, and the electrochemical method. The book then explains the results of experiments carried out on insulin, lysozyme, and ribonuclease. The text notes that the experiments, carried out on native and denatured proteins as well as on derivatives prepared by chemical modification (e.g., by methylation, iodination, acetylation, etc.), can lead to greater understanding of secondary and tertiary structures of proteins of known sequence. The book is suitable for biochemists, micro-biologists, cellular researchers, or investigators involved in protein structure and other biological sciences related to muscle physiologists, geneticists, enzymologists, or immunologists.

Computational Methods With Applications In Bioinformatics Analysis

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Author : Jeffrey J P Tsai
language : en
Publisher: World Scientific
Release Date : 2017-06-09

Computational Methods With Applications In Bioinformatics Analysis written by Jeffrey J P Tsai and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-09 with Science categories.

This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms.The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics.The unique volume will be a useful reference material and an inspirational read for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals.

Computational Methods For Protein Structure Prediction And Modeling Basic Characterization

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