Practical Bioinformatics / Edition 1

Practical Bioinformatics / Edition 1

by Janusz M. Bujnicki
     
 

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ISBN-10: 3540206132

ISBN-13: 9783540206132

Pub. Date: 05/16/2004

Publisher: Springer Berlin Heidelberg

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

Overview

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.

Product Details

ISBN-13:
9783540206132
Publisher:
Springer Berlin Heidelberg
Publication date:
05/16/2004
Series:
Nucleic Acids and Molecular Biology Series, #15
Edition description:
2004
Pages:
265
Product dimensions:
5.98(w) x 9.02(h) x 0.03(d)

Table of Contents

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.

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