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.
1101509786
Protein Structure Prediction
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.
169.0
Out Of Stock
5
1

Protein Structure Prediction
337
Protein Structure Prediction
337Paperback(Softcover reprint of hardcover 2nd ed. 2008)
$169.00
Related collections and offers
169.0
Out Of Stock
Product Details
ISBN-13: | 9781617377570 |
---|---|
Publisher: | Springer-Verlag New York, LLC |
Publication date: | 11/19/2010 |
Series: | Methods in Molecular Biology , #413 |
Edition description: | Softcover reprint of hardcover 2nd ed. 2008 |
Pages: | 337 |
Product dimensions: | 6.10(w) x 9.25(h) x 0.36(d) |
From the B&N Reads Blog