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OverviewA 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 DetailsAuthor: Kenneth M.Jr. Merz , Scott M. LeGrandPublisher: 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: 9781468468335ISBN 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 Contents1 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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