Mathematical Methods for Protein Structure Analysis and Design: Advanced Lectures (Lecture Notes in Computer Science, 2666)

ISBN 10: 3540401040 / ISBN 13: 9783540401049

Editore: Springer, 2003

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Dati bibliografici

• Titolo: Mathematical Methods for Protein Structure Analysis and Design: Advanced Lectures (Lecture Notes in Computer Science, 2666)
• Editore: Springer
• Data di pubblicazione: 2003
• Lingua: Inglese
• ISBN 10: 3540401040
• ISBN 13: 9783540401049
• Rilegatura: Brossura
• Condizione: New

Descrizione articolo

Riassunto

The revised lectures presented in this volume are based on a course given by leading scholars at the C.I.M.E. Summer School held in Martina Franca, Italy, in July 2000. The 11 revised chapters presented were carefully revised and cross-reviewed in order to provide competent coverage of mathematical methods for protein structure analysis and design. The topics addressed pinpoint major issues arising in the development and analysis of models, algorithms, and software tools devoted to the structure of proteins, all of which play crucial roles in structural genomics and proteomics.

Contenuti

Protein Structure Comparison: Algorithms and Applications.- Spatial Pattern Detection in Structural Bionformatics.- Geometric Methods for Protein Structure Comparison.- Identifying Flat Regions and Slabs in Protein Structures.- OPTIMA: A New Score Function for the Detection of Remote Homologs.- A Comparison of Methods for Assessing the Structural Similarity of Proteins.- Prediction of Protein Secondary Structure at High Accuracy Using a Combination of Many Neural Networks.- Self-consistent Knowledge-Based Approach to Protein Design.- Protein Structure from Solid-State NMR.- Learning Effective Amino-Acid Interactions.- Proteinlike Properties of Simple Models.