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Protein Structure Prediction

Protein Structure Prediction

Protein Structure Prediction
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Protein Structure Prediction Hardback -

by Mohammed Zaki (Editor); Chris Bystroff (Editor)

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Humana Press , pp. 352 2nd Edition . Hardback. New.
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Details

  • Title Protein Structure Prediction
  • Author Mohammed Zaki (Editor); Chris Bystroff (Editor)
  • Binding Hardback
  • Edition 2nd
  • Condition New
  • Pages 337
  • Volumes 1
  • Language ENG
  • Publisher Humana Press
  • Publication date pp. 352 2nd Edition
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # 6279845
  • ISBN 9781588297525 / 1588297527
  • Weight 1.49 lbs (0.68 kg)
  • Dimensions 9.16 x 6.46 x 1.04 in (23.27 x 16.41 x 2.64 cm)
  • Category Science
  • Library of Congress subjects Amino acid sequence, Proteins - Structure - Mathematical models
  • Library of Congress Catalogue Number 2007933144
  • Dewey Decimal Code 572.6
  • Quantity available 4

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Reader reviews for Protein Structure Prediction

From the publisher

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.

From the rear cover

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.

Media reviews

Citations

  • Scitech Book News, 03/01/2008, Page 68
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