Prediction of protein structures, functions, and interactions
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Bibliographic Information
Prediction of protein structures, functions, and interactions
John Wiley & Sons, 2009
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Includes bibliographical references and index
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Description and Table of Contents
Description
The growing flood of new experimental data generated by genome sequencing has provided an impetus for the development of automated methods for predicting the functions of proteins that have been deduced by sequence analysis and lack experimental characterization. Prediction of Protein Structures, Functions and Interactions presents a comprehensive overview of methods for prediction of protein structure or function, with the emphasis on their availability and possibilities for their combined use. Methods of modeling of individual proteins, prediction of their interactions, and docking of complexes are put in the context of predicting gene ontology (biological process, molecular function, and cellular component) and discussed in the light of their contribution to the emerging field of systems biology. Topics covered include:
first steps of protein sequence analysis and structure prediction
automated prediction of protein function from sequence
template-based prediction of three-dimensional protein structures: fold-recognition and comparative modelling
template-free prediction of three-dimensional protein structures
quality assessment of protein models
prediction of molecular interactions: from small ligands to large protein complexes
macromolecular docking
integrating prediction of structure, function, and interactions
Prediction of Protein Structures, Functions and Interactions focuses on the methods that have performed well in CASPs, and which are constantly developed and maintained, and are freely available to academic researchers either as web servers or programs for local installation. It is an essential guide to the newest, best methods for prediction of protein structure and functions, for researchers and advanced students working in structural bioinformatics, protein chemistry, structural biology and drug discovery.
Table of Contents
List of Contributors. Preface.
1 The Basics of Protein Sequence Analysis (Katarzyna H. Kaminska, Kaja Milanowska and Janusz M. Bujnicki).
2 First Steps of Protein Structure Prediction (Karolina Majorek, Lukasz Kozlowski, Marcin Jakalski and Janusz M. Bujnicki).
3 Automated Prediction of Protein Function from Sequence (Meghana Chitale, Troy Hawkins and Daisuke Kihara).
4 Template Based Prediction of Three-dimensional Protein Structures: Fold Recognition and Comparative Modeling (Jan Kosinski, Karolina L. Tkaczuk, Joanna M. Kasprzak and Janusz M. Bujnicki).
5 Template-free Predictions of Three-dimensional Protein Structures: From First Principles to Knowledge-based Potentials (Dominik Gront, Dorota Latek, Mateusz Kurcinski and Andrzej Kolinski).
6 Quality Assessment of Protein Models (Bjoern Wallner and Arne Elofsson).
7 Prediction of Molecular Interactions from 3D-structures: From Small Ligands to Large Protein Complexes (Kengo Kinoshita, Hidetoshi Kono and Kei Yura).
8 Structure-based Prediction of Enzymes and Their Active Sites (James W. Torrance and Janet M. Thornton).
9 The Prediction of Macromolecular Complexes by Docking (Sjoerd J. de Vries, Marc van Dijk and Alexandre M.J.J. Bonvin).
10 Protein Function Prediction via Analysis of Interactomes (Elena Nabieva and Mona Singh).
11 Integrating Prediction of Structure, Function, and Interactions (Michael Tress, Janusz M. Bujnicki, Gonzalo Lopez and Alfonso Valencia).
Index.
by "Nielsen BookData"