Structural Bioinformatics (Methods of Biochemical Analysis, V. 44) - Softcover

Über die Autorin bzw. den Autor

PHILIP E. BOURNE 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 currently the 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 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 post-doctoral work with Prof. 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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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 following section addresses data representation and databases, followed by information on structure classification of proteins (SCOP) and class, architecture, topology, 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 level and direction
• Offers detailed coverage for practitioners while remaining accessible to the novice student
• 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 a discussion of the future of high-throughput structure determination in drug design.

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 an essential addition to their bookshelves.