Protein Structure Prediction / Edition 2

Protein Structure Prediction / Edition 2

ISBN-10:
1588297527
ISBN-13:
9781588297525
Pub. Date:
09/12/2007
Publisher:
Springer-Verlag New York, LLC
ISBN-10:
1588297527
ISBN-13:
9781588297525
Pub. Date:
09/12/2007
Publisher:
Springer-Verlag New York, LLC
Protein Structure Prediction / Edition 2

Protein Structure Prediction / Edition 2

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Overview

This book covers elements of both the data-driven comparative modeling approach to structure prediction and also recent attempts to simulate folding using explicit or simplified models. Despite the unsolved mystery of how a protein folds, advances are being made in predicting the interactions of proteins with other molecules, such as small ligands, nucleic acids or other proteins. Also rapidly advancing are the methods for solving the inverse folding problem, the problem of finding a sequence to fit a structure. This book focuses on the various computational methods for prediction, their successes and their limitations, from the perspective of their most well known practitioners.


Product Details

ISBN-13: 9781588297525
Publisher: Springer-Verlag New York, LLC
Publication date: 09/12/2007
Series: Methods in Molecular Biology , #413
Edition description: 2nd ed. 2008
Pages: 337
Product dimensions: 6.10(w) x 9.25(h) x 0.04(d)

Table of Contents

Preface.- Contributors.- I: Overview of Protein Structure Prediction.- A Historical Perspective of Template-Based Protein Structure PredictionJun-tao Guo, Kyle Ellrott, and Ying Xu.- The Assessment of Methods for Protein Structure PredictionAnna Tramontano, Domenico Cozzetto, Alejandro Giorgetti, and Domenico Raimondo.- II: Template-based Methods.- Aligning Sequences to StructuresLiam James McGuffin.- Protein Structure Prediction Using ThreadingJinbo Xu, Feng Jiao, and Libo Yu.- III: Structure Alignment and Indexing.- Algorithms for Multiple Protein Structure Alignment and Structure-Derived Multiple Sequence AlignmentMaxim Shatsky, Ruth Nussinov, and Haim J. Wolfson.- Indexing Protein Structures Using Suffix TreesFeng Gao and Mohammed J. Zaki.- IV: Protein Features Prediction.- Hidden Markov Models for Prediction of Protein FeaturesBystroff and Krogh.- The Pros and Cons of Predicting Protein Contact MapsLisa Bartoli, Emidio Capriotti, Piero Fariselli, Pier Luigi Martelli, and Rita Casadio.- Road Map Methods for Protein FoldingMark Moll, David Schwarz, and Lydia E. Kavraki.- Scoring Functions for De Novo Protein Structure Prediction RevisitedShing-Chung Ngan, Ling-Hong Hung, Tianyun Liu, and Ram Samudrala.- Protein—Protein Docking: Overview and Performance AnalysisKevin Wiehe, Matthew W. Peterson, Brian Pierce, Julian Mintseris, and Zhiping Weng.- Molecular Dynamics Simulations of Protein FoldingAngel E. Garcia.
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