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Title From protein structure to function with bioinformatics / edited by Daniel John Rigden
Published Dordrecht ; London : Springer, 2008
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Description 1 online resource
Contents Section I: Generating and inferring structures. Ab Initio protein structure prediction / Jooyoung Lee, Sitao Wu, and Yang Zhang ; Fold recognition / Lawrence A. Kelley ; Comparative protein structure modelling / AndrĂ¡s Fiser ; Membrane protein structure prediction / Timothy Nugent and David T. Jones ; Bioinformatics approaches to the structure and function of intrinsically disordered proteins / Peter Tompa -- Section II: From structure to functions. Function diversity within folds and superfamilies / Benoit H. Dessailly and Christine A. Orengo ; Predicting protein function from surface properties / Nicholas J. Burgoyne and Richard M. Jackson ; 3D motifs / Elaine C. Meng, Benjamin J. Polacco, and Patricia C. Babbitt ; Protein dynamics: from structure to function / Marcus B. Kubitzki, Bert L. de Groot, and Daniel Seeliger ; Integrated servers for structure-informed function prediction / Roman A. Laskowski ; Case studies: Function predictions of structural genomics results / James D. Watson and Janet M. Thornton ; Prediction of protein function from theoretical models / Iwona A. Cymerman, Daniel J. Rigden, and Janusz M. Bujnicki
Summary Deals with the various ways in which protein structures may be predicted or inferred, including specific treatment of membrane and intrinsically disordered proteins. This book considers various structure-based function prediction methodologies. It focuses on case studies designed to illustrate the real-world application of these methods
Bibliography Includes bibliographical references and index
Notes Print version record
Subject Bioinformatics.
Proteins -- Structure -- Computer simulation.
Proteins -- Structure -- Research -- Methodology.
Proteins -- Structure.
Proteins -- Structure-activity relationships -- Research -- Methodology.
Amino Acid Sequence.
Computational Biology.
Models, Chemical.
Protein Conformation.
Proteins -- physiology.
Form Electronic book
Author Rigden, Daniel John.
LC no. 2008936476
ISBN 1402090579 (hbk.)
9781402090578 (hbk.)