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This book presents applications of bioinformatics tools that experimental research scientists use in "daily practice." Its interdisciplinary approach combines computational and experimental methods to solve scientific problems. The book begins with reviews of computational methods for protein sequence-structure-function analysis, followed by methods that use experimental data obtained in the laboratory to improve functional predictions.
Computational Methods for Protein Structure Prediction and Fold Recognition.- ‘Meta’Approaches to Protein Structure Prediction.- From Molecular Modeling to Drug Design.- Structure Determination of Macromolecular Complexes by Experiment and Computation.- Modeling Protein Folding Pathways.- Structural Bioinformatics and NMR Structure Determination.- Bioinformatics-Guided Identification and Experimental Characterization of Novel RNA Methyltransferas.- Finding Missing tRNA Modification Genes: A Comparative Genomics Goldmine.- Evolution and Function of Processosome, the Complex That Assembles Ribosomes in Eukaryotes: Clues from Comparative Sequence Analysis.- Bioinformatics-Guided Experimental Characterization of Mismatch-Repair Enzymes and Their Relatives.- Predicting Functional Residues in DNA Glycosylases by Analysis of Structure and Conservation.