Publisher's Synopsis
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.
