Frontmatter -- Color Plates -- Introduction to Protein Structure Prediction / Huzefa Rangwala, George Karypis -- CASP: A Driving Force in Protein Structure Modeling / Andriy Kryshtafovych, Krzysztof Fidelis, John Moult -- The Protein Structure Initiative / Andras Fiser, Adam Godzik, Christine Orengo, Burkhard Rost -- Prediction of One-Dimensional Structural Properties Of Proteins by Integrated Neural Networks / Yaoqi Zhou, Eshel Faraggi -- Local Structure Alphabets / Agnel Praveen Joseph, Auřlie Bornot -- Shedding Light on Transmembrane Topology / G̀bor E Tusǹdy, Istv̀n Simon -- Contact Map Prediction by Machine Learning / Alberto JM Martin, Catherine Mooney, Ian Walsh, Gianluca Pollastri -- A Survey of Remote Homology Detection and Fold Recognition Methods / Huzefa Rangwala -- Integrative Protein Fold Recognition by Alignments and Machine Learning / Allison N Tegge, Zheng Wang, Jianlin Cheng -- Tasser-Based Protein Structure Prediction / Shashi Bhushan Pandit, Hongyi Zhou, Jeffrey Skolnick -- Composite Approaches to Protein Tertiary Structure Prediction: A Case-Study by I-Tasser / Ambrish Roy, Sitao Wu, Yang Zhang -- Hybrid Methods for Protein Structure Prediction / Dmitri Mourado, Bostjan Kobe, Nicholas E Dixon, Thomas Huber -- Modeling Loops in Protein Structures / Narcis Fernandez-Fuentes, Andras Fiser -- Model Quality Assessment Using a Statistical Program that Adopts a Side Chain Environment Viewpoint / Genki Terashi, Mayuko Takeda-Shitaka, Kazuhiko Kanou, Hideaki Umeyama -- Model Quality Prediction / Liam J McGuffin -- Ligand-Binding Residue Prediction / Chris Kauffman, George Karypis -- Modeling and Validation of Transmembrane Protein Structures / Maya Schushan, Nir Ben-Tal -- Structure-Based Machine Learning Models for Computational Mutagenesis / Majid Masso, Iosif I Vaisman -- Conformational Search for the Protein Native State / Amarda Shehu -- Modeling Mutations in Proteins Using Medusa and Discrete Molecule Dynamics / Shuangye Yin, Feng Ding, Nikolay V Dokholyan -- Index.
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"Focuses on methods for protein prediction. Delivers applications used for predicted models in other studies. Researchers rely on computational techniques to extract useful information from known structures in large databases. 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"--
"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. It describes key applications of modeled structures, focusing on the methods and algorithms that are used to predict protein structure written by experts who participate in the structure prediction competition. The book also delivers applications used for predicted models in other studies. Researchers in bioinformatics and molecular biology will find this text highly useful, as will students in graduate courses in protein prediction"--
Wiley InterScience
10.1002/9780470882207
Introduction to protein structure prediction.
9780470470596
Proteins-- Structure-- Computer simulation.
Proteins-- Structure-- Mathematical models.
Analytical, Diagnostic and Therapeutic Techniques and Equipment