Introduction to protein structure prediction : methods and algorithms / edited by Huzefa Rangwala, George Karypis

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Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Wiley series on bioinformatics ; 14 | Wiley series in bioinformatics ; 14 | Wiley Series in Bioinformatics Ser ; v.18Verlag: Hoboken, N.J : Wiley, c2010Auflage: Online-AusgBeschreibung: Online-Ressource (1 online resource (xiv, 500 p.)) : ill. (some col.)ISBN:

9781282782860
128278286X
9780470882191

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Andere physische Formen: 9780470470596 | 1282782487 | Druckausg.: Introduction to protein structure prediction. Hoboken, NJ : Wiley, 2010. XIV, 500 S., [8] Bl.DDC-Klassifikation:

572.633
572/.633

RVK: RVK: WC 4170LOC-Klassifikation:

QP551

Online-Ressourcen:

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Zusammenfassung: 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 proteinZusammenfassung: INTRODUCTION TO PROTEIN STRUCTURE PREDICTION: Methods and Algorithms -- CONTENTS -- PREFACE -- CONTRIBUTORS -- CHAPTER 1: INTRODUCTION TO PROTEIN STRUCTURE PREDICTION -- CHAPTER 2: CASP : A DRIVING FORCE IN PROTEIN STRUCTURE MODELING -- CHAPTER 3: THE PROTEIN STRUCTURE INITIATIVE -- CHAPTER 4: PREDICTION OF ONE - DIMENSIONAL STRUCTURAL PROPERTIES OF PROTEINS BY INTEGRATED NEURAL NETWORKS -- CHAPTER 5: LOCAL STRUCTURE ALPHABETS -- CHAPTER 6: SHEDDING LIGHT ON TRANSMEMBRANE TOPOLOGY -- CHAPTER 7: CONTACT MAP PREDICTION BY MACHINE LEARNING -- CHAPTER 8: A SURVEY OF REMOTE HOMOLOGY DETECTION AND FOLD RECOGNITION METHODS -- CHAPTER 9: INTEGRATIVE PROTEIN FOLD RECOGNITION BY ALIGNMENTS AND MACHINE LEARNING -- CHAPTER 10: TASSER - BASED PROTEIN STRUCTURE PREDICTION -- CHAPTER 11: COMPOSITE APPROACHES TO PROTEIN TERTIARY STRUCTURE PREDICTION: A CASE - STUDY BY I - TASSER -- CHAPTER 12: HYBRID METHODS FOR PROTEIN STRUCTURE PREDICTION -- CHAPTER 13: MODELING LOOPS IN PROTEIN STRUCTURES -- CHAPTER 14: MODEL QUALITY ASSESSMENT USING A STATISTICAL PROGRAM THAT ADOPTS A SIDE CHAIN ENVIRONMENT VIEWPOINT -- CHAPTER 15: MODEL QUALITY PREDICTION -- CHAPTER 16: LIGAND - BINDING RESIDUE PREDICTION -- CHAPTER 17: MODELING AND VALIDATION OF TRANSMEMBRANE PROTEIN STRUCTURES -- CHAPTER 18: STRUCTURE - BASED MACHINE LEARNING MODELS FOR COMPUTATIONAL MUTAGENESIS -- CHAPTER 19: CONFORMATIONAL SEARCH FOR THE PROTEIN NATIVE STATE -- CHAPTER 20: MODELING MUTATIONS IN PROTEINS USING MEDUSA AND DISCRETE MOLECULE DYNAMICS -- INDEX -- colour plates.PPN: PPN: 809058812Package identifier: Produktsigel: ZDB-26-MYL | ZDB-30-PAD | ZDB-30-PQE | BSZ-30-PQE-K1DLR

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