Protein Structure Prediction / Edition 2

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For forty years we have known the essential ingredients for protein folding - an amino acid sequence, and water. But the problem of predicting the three-dimensional structure from its sequence has eluded computational biologists even in the age of supercomputers and high throughput structural genomics. 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. Protein Structure Prediction focuses on the various computational methods for prediction, their successes and their limitations, from the perspective of their most well-known practitioners. Leaders in the field provide insights into template-based methods of prediction, structure alignment and indexing, protein features prediction, and methods for de novo structure prediction. Protein Structure Prediction is a cutting-edge text that all researchers in the field should have in their libraries.

Features: Describes cutting-edge approaches for protein structure prediction, Provides a comprehensive view of structure prediction methods and their assessment, including template-based approaches, structure alignment and indexing, feature prediction, and de novo methods, Chapters written by the most well-known practitioners in their areas.

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Product Details

  • ISBN-13: 9781617377570
  • Publisher: Springer-Verlag New York, LLC
  • Publication date: 11/19/2010
  • Series: Methods in Molecular Biology Series, #413
  • Edition description: Softcover reprint of hardcover 2nd ed. 2008
  • Edition number: 2
  • Pages: 337
  • Product dimensions: 0.73 (w) x 6.14 (h) x 9.21 (d)

Table of Contents

TABLE OF CONTENTS Preface Contributors Overview of Protein Structure Prediction A historical perspective of template-based protein structure prediction, Jun-tao Guo, Kyle Ellrott, and Ying Xu The assessment of methods for protein structure prediction, Anna Tramontano, Domenico Cozzetto, Alejandro Giorgetti, and Domenico Raimondo Template-based Methods Aligning Sequences to Structures, Liam J. McGuffin Protein Structure Prediction Using Threading, Jinbo Xu, Feng Jiao, and Libo Yu Structure Alignment and Indexing Algorithms for Multiple Protein Structure Alignment and Structure-Derived Multiple Sequence Alignment, Maxim Shatsky, Ruth Nussinov, and Haim J. Wolfson Indexing Protein Structures using Suffix Trees, Feng Gao and Mohammed J. Zaki Protein Features Prediction Hidden Markov Models for Prediction of Protein Features, Christopher Bystroff and Anders Krogh The pros and cons of predicting protein contact maps, Lisa Bartoli, Emidio Capriotti, Piero Fariselli, Pier Luigi Martelli, and Rita Casadio Roadmap Methods for Protein Folding, Mark Moll, David Schwarz, Lydia E. Kavraki Methods for de novo Structure Prediction Scoring functions for de novo protein structure prediction revisited, Shing-Chung Ngan, Ling-Hong Hung, Tianyun Liu, and Ram Samudrala Protein-Protein Docking: Overview and Performance Analysis, Kevin Wiehe, Matthew W. Peterson, Brian Pierce, Julian Mintseris, and Zhiping Weng Molecular Dynamics Simulations of Protein Folding, Angel E. Garcia

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