Structural Bioinformatics (Methods of Biochemical Analysis) - Tapa dura

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PHILIP E. BOURNE, PhD, is a professor in the Department of Pharmacology at the University of California, San Diego, and Director of Integrated Biosciences at the San Diego Supercomputer Center. He is also President of the International Society for Computational Biology (ISCB). Dr. Bourne is the author of over 100 peer--reviewed scientific papers and three previous books. HELGE WEISSIG, PhD, is a Project Leader in Bioinformatics at ActivX Biosciences, a proteomics company, and also co--coordinates the Bioinformatics Certificate program for UCSD Extension. After doing his postdoctoral work with Professor Bourne at the San Diego Supercomputer Center, he became the Technical Project Manager for the RCSB Protein Data Bank (PDB) at UCSD.

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The emerging discipline of structural bioinformatics comprises the development of computational technologies for methods of storage, retrieval, and analysis of the three-dimensional structure of biological macromolecules. Edited by Philip Bourne and Helge Weissig, this groundbreaking text provides a thorough understanding of the theories, associated algorithms, resources, and tools used in structural bioinformatics.

Structural Bioinformatics begins with chapters on the fundamentals of protein structure, DNA/RNA structure, carbohydrates, and techniques including X-ray crystallography, NMR, cryo-electron microscopy, and molecular visualization. The next section addresses data representation and databases, followed by information on structure classification of proteins (SCOP) and class, architecture, topology, and homology (CATH) classification. Later chapters cover structure-function assignment, protein interactions, and proteins as drug targets. Structural Bioinformatics also:

• Covers the theory, biology, resources, and practical applications for computational approaches to biomolecular structural studies
• Provides broad-based, concise coverage with a consistent direction
• Offers detailed coverage for practitioners while remaining accessible to the novice
• Presents computational analysis of growing masses of structural data as the key to advances in pharmacogenomics

The book concludes with several chapters on structure prediction methods, and discussion of the future of high-throughput structure determination in drug design.

Readers will gain the ability to make effective use of protein, DNA, RNA, carbohydrate, and complex structures to better understand biological function. Molecular biologists, biochemists, biophysicists, and bioinformaticians in basic and clinical research, as well as undergraduate and graduate students in biology, medicine, and computer science, will find Structural Bioinformatics to be an essential addition to their professional and academic libraries.