Isbn: 9780470470596 - introduction to protein structure prediction: methods and algorithms (wiley series in bioinformatics) (17 resultados)

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Hardcover. Condición: Bon. Ancien livre de bibliothèque avec équipements. Edition 2010. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 2010. Ammareal gives back up to 15% of this item's net price to charity organizations.…

Condición: New.

Condición: New. In English.

Condición: New. This book helps unravel the relationship of pure sequence information and three-dimensional structure, which remains one of the great fundamental problems in molecular biology and bioinformatics. Editor(s): Rangwala, Huzefa; Karypis, George. Series: Wiley Series in Bioinformatics. Num Pages: 500 pages, Illustrations. BIC Classification: PSBC. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 239 x 164 x 34. Weight in Grams: 952. . 2010. 1st Edition. hardcover. . . . . …

Gebunden. Condición: New. DR. HUZEFA RANGWALA is an assistant professor in computer science and bioengineering at George Mason University. He has published in various conferences and journals on the topic of bioinformatics.DR. GEORGE KARYPIS is a professor in computer science and en.

Condición: New. This book helps unravel the relationship of pure sequence information and three-dimensional structure, which remains one of the great fundamental problems in molecular biology and bioinformatics. Editor(s): Rangwala, Huzefa; Karypis, George. Series: Wiley Series in Bioinformatics. Num Pages: 500 pages, Illustrations. BIC Classification: PSBC. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 239 x 164 x 34. Weight in Grams: 952. . 2010. 1st Edition. hardcover. . . . . Books ship from the US and Ireland. …

Hardcover. Condición: Brand New. 1st edition. 516 pages. 9.37x6.38x1.34 inches. In Stock.

Condición: New. pp. 516 Index 1st edition.

Buch. Condición: Neu. Neuware - 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.…

Hardcover. Condición: gut. 2010. Introduction to Protein Structure Prediction: Methods and Algorithms (Wiley Series in Bioinformatics) In englischer Sprache. pages.

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Hardcover. Condición: new. Hardcover. 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 predictionThe structure prediction flagship assessment (CASP) and the protein structure initiative (PSI)Definitions of recurring substructures and the computational approaches used for solving sequence problemsDifficulties with contact map prediction and how sophisticated machine learning methods can solve those problemsStructure prediction methods that rely on homology modeling, threading, and fragment assemblyHybrid methods that achieve high-resolution protein structuresParts of the protein structure that may be conserved and used to interact with other biomoleculesHow the loop prediction problem can be used for refinement of the modeled structuresThe 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. This book helps unravel the relationship of pure sequence information and three-dimensional structure, which remains one of the great fundamental problems in molecular biology and bioinformatics. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Condición: New. Print on Demand pp. 516.

Condición: New. PRINT ON DEMAND pp. 516.