Overview

A solution to the protein folding problem has eluded researchers for more than 30 years. The stakes are high. Such a solution will make 40,000 more tertiary structures available for immediate study by translating the DNA sequence information in the sequence databases into three-dimensional protein structures. This translation will be indispensable for the analy­ sis of results from the Human Genome Project, de novo protein design, and many other areas of biotechnological research. Finally, an in-depth study of the rules of protein folding should provide vital clues to the protein fold­ ing process. The search for these rules is therefore an important objective for theoretical molecular biology. Both experimental and theoretical ap­ proaches have been used in the search for a solution, with many promising results but no general solution. In recent years, there has been an exponen­ tial increase in the power of computers. This has triggered an incredible outburst of theoretical approaches to solving the protein folding problem ranging from molecular dynamics-based studies of proteins in solution to the actual prediction of protein structures from first principles. This volume attempts to present a concise overview of these advances. Adrian Roitberg and Ron Elber describe the locally enhanced sam­ pling/simulated annealing conformational search algorithm (Chapter 1), which is potentially useful for the rapid conformational search of larger molecular systems.

Full Product Details

Author:   Kenneth M.Jr. Merz ,  Scott M. LeGrand
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 1994
Dimensions:   Width: 15.50cm , Height: 3.00cm , Length: 23.50cm
Weight:   0.902kg
ISBN:  

9781468468335

ISBN 10:   1468468332
Pages:   581
Publication Date:   02 April 2012
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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

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