Editors:
- Describes cutting-edge techniques for prediction and accesses them from the perspective of their most well-known practitioners
- Includes a comprehensive account of the history of protein structure prediction
- Step-by-step, readily reproducible laboratory protocols
- Chapters written by experienced practitioners
Part of the book series: Methods in Molecular Biology (MIMB, volume 413)
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Table of contents (12 protocols)
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Front Matter
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Overview of Protein Structure Prediction
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Front Matter
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Template-based Methods
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Front Matter
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Structure Alignment and Indexing
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Front Matter
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Protein Features Prediction
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Front Matter
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Methods for de novo Structure Prediction
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Front Matter
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Back Matter
About this book
This book covers elements of both the data-driven comparative modeling approach to structure prediction and also recent attempts to simulate folding using explicit or simplified models. Despite the unsolved mystery of how a protein folds, advances are being made in predicting the interactions of proteins with other molecules, such as small ligands, nucleic acids or other proteins. Also rapidly advancing are the methods for solving the inverse folding problem, the problem of finding a sequence to fit a structure. This book focuses on the various computational methods for prediction, their successes and their limitations, from the perspective of their most well known practitioners.
Editors and Affiliations
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Rensselaer Polytechnic Institute, Troy, USA
Mohammed J. Zaki, Christopher Bystroff
Bibliographic Information
Book Title: Protein Structure Prediction
Editors: Mohammed J. Zaki, Christopher Bystroff
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-59745-574-9
Publisher: Humana Totowa, NJ
eBook Packages: Springer Protocols
Copyright Information: Humana Press 2008
Hardcover ISBN: 978-1-58829-752-5Published: 12 September 2007
Softcover ISBN: 978-1-61737-757-0Published: 19 November 2010
eBook ISBN: 978-1-59745-574-9Published: 03 February 2008
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 2
Number of Pages: XII, 337
Number of Illustrations: 69 b/w illustrations
Topics: Protein Science, Biochemistry, general, Proteomics