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Zusatztext wide ranging and very well documented accounts of the many practical aspects and various areas of application. The book should be of practical value especially to geneticists and molecular biologists. Klappentext The prediction of the three-dimensional structure of a protein from its amino acid sequence is a problem faced by an increasing number of biological scientists. This book provides a practical guide to making these predictions by reviewing strategies of different computer modeling algorithms and highlighting the degree of confidence attributed to them. Also in the volume are descriptions of the following: the principles of protein folding; sequence homology and motif searches; prediction of secondary structure; homology modeling; modeling of antibody combining sites; tertiary fold recognition; modeling of transmembrane proteins; ab initio prediction; protein-ligand docking simulations; and the use of molecular mechanics and dynamics. both non-specialists who require guidance to identify and evaluate appropriate strategies and experts who require a contemporary view of the field! will find this volume a worthy addition to their research libraries. Zusammenfassung The three-dimensional structure of proteins is a key factor in their biological activity. There is an increasing need to be able to predict the structure of a protein once its amino-acid sequence is known; this book presents practical methods of achieving that ambitious aim! using the latest computer modelling algorithms. Inhaltsverzeichnis 1.: Protein structure prediction - principles and approaches 2.: Protein sequence alignment and database scanning 3.: Identification of protein sequence motifs 4.: Prediction of secondary structure 5.: Prediction of transmembrane protein topology 6.: Comparative modelling of proteins 7.: Antibody combining sites: structure and prediction 8.: Protein folds and their recognition from sequence 9.: The combinatorial approach 10.: Modelling protein conformation by molecular mechanics and dynamics 11.: Docking ligands to proteins 12.: The prediction challenge ...
