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The Protein Folding Problem and Tertiary Structure Prediction

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Cover of 'The Protein Folding Problem and Tertiary Structure Prediction'

Table of Contents

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    Book Overview
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    Chapter 1 Modeling Side Chains in Peptides and Proteins with the Locally Enhanced Sampling/Simulated Annealing Method
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    Chapter 2 Conformation Searching Using Simulated Annealing
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    Chapter 3 Multiple-Start Monte Carlo Docking of Flexible Ligands
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    Chapter 4 The Genetic Algorithm and Protein Tertiary Structure Prediction
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    Chapter 5 Conformational Search and Protein Folding
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    Chapter 6 Building Protein Folds Using Distance Geometry: Towards a General Modeling and Prediction Method
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    Chapter 7 Molecular Dynamics Studies of Protein and Peptide Folding and Unfolding
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    Chapter 8 Contact Potential for Global Identification of Correct Protein Folding
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    Chapter 9 Neural Networks for Molecular Sequence Classification
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    Chapter 10 The “Dead-End Elimination” Theorem: A New Approach to the Side-Chain Packing Problem
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    Chapter 11 Short Structural Motifs: Definition, Identification, and Applications
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    Chapter 12 In Search of Protein Folds
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    Chapter 13 An Adaptive Branch-and-Bound Minimization Method Based on Dynamic Programming
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    Chapter 14 Computational Complexity, Protein Structure Prediction, and the Levinthal Paradox
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    Chapter 15 Toward Quantitative Protein Structure Prediction
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    Chapter 16 The Role of Interior Side-Chain Packing in Protein Folding and Stability
Attention for Chapter 11: Short Structural Motifs: Definition, Identification, and Applications
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Chapter title
Short Structural Motifs: Definition, Identification, and Applications
Chapter number 11
Book title
The Protein Folding Problem and Tertiary Structure Prediction
Published by
Birkhäuser Boston, January 1994
DOI 10.1007/978-1-4684-6831-1_11
Book ISBNs
978-1-4684-6833-5, 978-1-4684-6831-1
Authors

Ron Unger, Unger, Ron