Protein Structure Prediction Hardback -
by Mohammed Zaki (Editor); Chris Bystroff (Editor)
- New
- Hardback
Standard delivery: 9 to 14 days
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
About Cold Books New York, United States
Reader reviews for Protein Structure Prediction
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information
From the publisher
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