Protein structure prediction : methods and protocols /

Protein structure prediction : methods and protocols /

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Bibliographic Details
Imprint:	Totowa, N.J. : Humana Press, ©2000.
Description:	1 online resource (x, 422 pages) : illustrations
Language:	English
Series:	Methods in molecular biology ; 143 Methods in molecular biology (Clifton, N.J.) ; v. 143.
Subject:	Proteins -- Structure -- Mathematical models. Amino acid sequence. Protein Conformation. Models, Molecular. Probability. Amino acid sequence. Proteins -- Structure -- Mathematical models.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11128941

Hidden Bibliographic Details
Other authors / contributors:	Webster, David M.
ISBN:	1592593682 9781592593682 0896036375 9780896036376 1280842474 9781280842474 9786610842476 6610842477
Notes:	Includes bibliographical references and index. English. Print version record.
Summary:	The deeper understanding of protein structure now emerging from cutting-edge research is not only illuminating evolutionary and biochemical mechanisms, but also promises enormous ramifications for molecular medicine, as well as for biotechnology, biophysics, biology, genetics, and other molecular sciences. In Protein Structure Prediction: Methods and Protocols, world-class investigators detail their most successful methods-and the theory behind them-for delineating the shape, form, and function of proteins. The protocols range from basic to advanced and include sequence alignment, the prediction of transmembrane protein structure, and the development of suitable folding potentials. There are also techniques for receptor site prediction, the identification of motifs and domains, the comparative modeling of proteins, the docking of peptides and ligands, and ab initio approaches to protein loop and side-chain prediction. To ensure robust and successful experimental results, each protocol contains step-by-step instructions, as well as tips on pitfalls to avoid and how procedures may be optimized for different systems. Comprehensive, accessible, and highly practical, Protein Structure Prediction: Methods and Protocols offers protein researchers, structural biologists, and other investigators a critical synthesis of the latest research results, as well as the vital guidance needed to understand the structure and interaction of proteins and peptides.
Other form:	Protein structure prediction
Standard no.:	10.1385/1592593682.

Description
Summary:	The number of protein sequences grows each year, yet the number of structures deposited in the Protein Data Bank remains relatively small. The importance of protein structure prediction cannot be overemphasized, and this volume is a timely addition to the literature in this field. Protein Structure Prediction: Methods and Protocols is a departure from the normal Methods in Molecular Biology series format. By its very nature, protein structure prediction demands that there be a greater mix of theoretical and practical aspects than is normally seen in this series. This book is aimed at both the novice and the experienced researcher who wish for detailed inf- mation in the field of protein structure prediction; a major intention here is to include important information that is needed in the day-to-day work of a research scientist, important information that is not always decipherable in scientific literature. Protein Structure Prediction: Methods and Protocols covers the topic of protein structure prediction in an eclectic fashion, detailing aspects of pred- tion that range from sequence analysis (a starting point for many algorithms) to secondary and tertiary methods, on into the prediction of docked complexes (an essential point in order to fully understand biological function). As this volume progresses, the authors contribute their expert knowledge of protein structure prediction to many disciplines, such as the identification of motifs and domains, the comparative modeling of proteins, and ab initio approaches to protein loop, side chain, and protein prediction.
Physical Description:	1 online resource (x, 422 pages) : illustrations
Bibliography:	Includes bibliographical references and index.
ISBN:	1592593682 9781592593682 0896036375 9780896036376 1280842474 9781280842474 9786610842476 6610842477