Protein Structure Prediction
. Ed(S): Zaki, Mohammed J. (Rensselaer Polytechnic Institute); Bystroff, Chris
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Description for Protein Structure Prediction
Hardback. 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. It focuses on the various computational methods for prediction. Editor(s): Zaki, Mohammed J. (Rensselaer Polytechnic Institute); Bystroff, Chris. Series: Methods in Molecular Biology. Num Pages: 337 pages, 69 black & white illustrations, biography. BIC Classification: PSBC. Category: (P) Professional & Vocational. Dimension: 231 x 158 x 27. Weight in Grams: 672.
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 ... Read more
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Format
Hardback
Publication date
2007
Publisher
Humana Press Inc. United States
Number of pages
337
Condition
New
Series
Methods in Molecular Biology
Number of Pages
337
Place of Publication
Totowa, NJ, United States
ISBN
9781588297525
SKU
V9781588297525
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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