タンパク質構造<br>Protein Structure : Determination, Analysis, and Applications for Drug Discovery

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タンパク質構造
Protein Structure : Determination, Analysis, and Applications for Drug Discovery

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  • 製本 Hardcover:ハードカバー版/ページ数 576 p.
  • 言語 ENG
  • 商品コード 9780824740320
  • DDC分類 572.6

基本説明

Offers in-depth perspectives on every aspect of protein structure identification, assessment, characterization, and utilization for clear understanding of the diversity of protein shapes, variations in protein function, and structure-based drug design.

Full Description

This text offers in-depth perspectives on every aspect of protein structure identification, assessment, characterization, and utilization, for a clear understanding of the diversity of protein shapes, variations in protein function, and structure-based drug design. The authors cover numerous high-throughput technologies as well as computational methods to study protein structures and residues. A valuable reference, this book reflects current trends in the effort to solve new structures arising from genome initiatives, details methods to detect and identify errors in the prediction of protein structural models, and outlines challenges in the conversion of routine processes into high-throughput platforms.

Contents

Structural biology and structural genomics - a federal agency perspective, John C. Norvell and Marvin Cassman; determination; producing proteins, Aled M. Edwards, Cheryl H. Arrowsmith, Raymond Hui, Fabien Marino, Alexei Savchenko, Ken Yamazaki, and Adelinda Yee; crystallization of membrane proteins, R. Michael Garavito; prospects for high-throughput structure determination by X-ray crystallography, Frank von Delft, Charles D. Kang, and Duncan E. McRee; prospects for high-throughput structure determination of proteins by NMR spectroscopy, Ann E. Ferentz; automated molecular replacement, Jorge Navaza and Pedro M. Alzar; comparative protein structure modelling, Andras Fiser and Andrej Sali; rising accuracy of protein secondary structure prediction, Burkhard Rost; novel fold and ab initio methods for protein structure generation, David J. Osguthorpe; analysis; identifying errors in three-dimensional protein models, Brian D. Marsden and Ruben A. Abagyan; comparative analysis and evolutionary classification of protein structures, Liisa Holm; automated genome functional annotation for structural genomics, Sophia Tsoka and Christos A. Ouzounis; the importance of structure-based function annotation to drug discovery, Susan M. Baxter, Stacy Knutson, and Jacquelyn S. Fetrow; the protein data bank, Helen M. Berman, Philip E. Bourne, John Westbrook, and Christine Zardecki; the European bioinformatics Institute macromolecular structure database (E-MSD), Dimitris Dimitropoulos, Peter A. Keller, Kim Henrick, John Ionides, Eugene Krissinel, Philip McNeil, and Sameer S. Velankar; applications for drug discovery; molecular docking in structure-based design, Trevor W. Heritage; use of pharmacophores in structure-based drug design, Omoshile Clement and Adrea T. Mehl; the structure of human interferon- -1a (Avonexr) and its relation to activity - a Case study of the use of structural data in the arena of protein pharmaceuticals, Adrian Whitty and Michael Karpusas; G-protein- coupled rece