- Step-by-step, readily reproducible laboratory protocols
- Focuses on the various computational methods for prediction, their successes and their limitations, from the perspective of their most well known practitioners
Buy this book
- About this book
-
For forty years we have known the essential ingredients for protein folding – an amino acid sequence, and water. But the problem of predicting the three-dimensional structure from its sequence has eluded computational biologists even in the age of supercomputers and high throughput structural genomics. 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. Protein Structure Prediction focuses on the various computational methods for prediction, their successes and their limitations, from the perspective of their most well-known practitioners. Leaders in the field provide insights into template-based methods of prediction, structure alignment and indexing, protein features prediction, and methods for de novo structure prediction. Protein Structure Prediction is a cutting-edge text that all researchers in the field should have in their libraries.
- Table of contents (12 chapters)
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A Historical Perspective of Template-Based Protein Structure Prediction
Pages 3-42
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The Assessment of Methods for Protein Structure Prediction
Pages 43-57
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Aligning Sequences to Structures
Pages 61-90
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Protein Structure Prediction Using Threading
Pages 91-121
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Algorithms for Multiple Protein Structure Alignment and Structure-Derived Multiple Sequence Alignment
Pages 125-146
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Table of contents (12 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Protein Structure Prediction
- Editors
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- Mohammed Zaki
- Chris Bystroff
- Series Title
- Methods in Molecular Biology
- Series Volume
- 413
- Copyright
- 2008
- Publisher
- Humana Press
- Copyright Holder
- Humana Press
- eBook ISBN
- 978-1-59745-574-9
- DOI
- 10.1007/978-1-59745-574-9
- Hardcover ISBN
- 978-1-58829-752-5
- Softcover ISBN
- 978-1-61737-757-0
- Series ISSN
- 1064-3745
- Edition Number
- 2
- Number of Pages
- XII, 337
- Number of Illustrations
- 69 b/w illustrations
- Topics
*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works are not included.
