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From Protein Structure to Function with Bioinformatics

Editat de Daniel John Rigden
en Limba Engleză Paperback – 10 noi 2010
Proteins lie at the heart of almost all biological processes and have an incredibly wide range of activities. Central to the function of all proteins is their ability to adopt, stably or sometimes transiently, structures that allow for interaction with other molecules. An understanding of the structure of a protein can therefore lead us to a much improved picture of its molecular function. This realisation has been a prime motivation of recent Structural Genomics projects, involving large-scale experimental determination of protein structures, often those of proteins about which little is known of function. These initiatives have, in turn, stimulated the massive development of novel methods for prediction of protein function from structure. Since model structures may also take advantage of new function prediction algorithms, the first part of the book deals with the various ways in which protein structures may be predicted or inferred, including specific treatment of membrane and intrinsically disordered proteins. A detailed consideration of current structure-based function prediction methodologies forms the second part of this book, which concludes with two chapters, focusing specifically on case studies, designed to illustrate the real-world application of these methods. With bang up-to-date texts from world experts, and abundant links to publicly available resources, this book will be invaluable to anyone who studies proteins and the endlessly fascinating relationship between their structure and function.
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Specificații

ISBN-13: 9789048180585
ISBN-10: 9048180589
Pagini: 344
Ilustrații: XVI, 328 p.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.48 kg
Ediția:Softcover reprint of hardcover 1st ed. 2009
Editura: SPRINGER NETHERLANDS
Colecția Springer
Locul publicării:Dordrecht, Netherlands

Public țintă

Research

Cuprins

Generating and Inferring Structures.- Ab Initio Protein Structure Prediction.- Fold Recognition.- Comparative Protein Structure Modelling.- Membrane Protein Structure Prediction.- Bioinformatics Approaches to the Structure and Function of Intrinsically Disordered Proteins.- From Structures to Functions.- Function Diversity Within Folds and Superfamilies.- Predicting Protein Function from Surface Properties.- 3D Motifs.- Protein Dynamics: From Structure to Function.- Integrated Servers for Structure-Informed Function Prediction.- Case Studies: Function Predictions of Structural Genomics Results.- Prediction of Protein Function from Theoretical Models.

Caracteristici

Comprehensively covers all recent developments in structure-based function prediction of proteins Contains abundant links to publicly available resources Genuinely world class roster of authors Includes full coverage of techniques to generate and infer model protein structures Separate chapters of case studies illustrating current practice in structure-based function prediction