
Computational Methods for Protein Structure Prediction and Modeling
Volume 2: Structure Prediction
Published on 15. December 2006
Book
Hardback
XX, 322 pages
978-0-387-33321-2 (ISBN)
Description
This volume focuses on protein structure prediction methods and describes homology-based structure modeling, fold recognition of globular proteins, ab initio protein structure prediction, structure prediction of membrane proteins, prediction of structures of protein complexes, protein structure-based drug design, and structure prediction as a systems problem. It also contains a chapter listing Internet resources for protein structure/function characterization.
More details
Series
Edition
2007 ed.
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Product notice
sewn/stitched
Cloth over boards
Illustrations
41 s/w Abbildungen
XX, 322 p. 41 illus.
Dimensions
Height: 241 mm
Width: 164 mm
Thickness: 21 mm
Weight
612 gr
ISBN-13
978-0-387-33321-2 (9780387333212)
DOI
10.1007/978-0-387-68825-1
Schweitzer Classification
Other editions
Additional editions

Ying Xu | Dong Xu | Jie Liang
Computational Methods for Protein Structure Prediction and Modeling
Volume 2: Structure Prediction
Book
12/2010
Springer
€160.49
Shipment within 15-20 days

Ying Xu | Dong Xu | Jie Liang
Computational Methods for Protein Structure Prediction and Modeling
Volume 2: Structure Prediction
E-Book
05/2010
1st Edition
Springer
€149.79
Available for download
Persons
Dr. Ying Xu is Regents-GRA Eminent Scholar and Professor at the University of Georgia. Dr. Dong Xu is the Director of the Digital Biology Laboratory at the University of Missouri-Columbia. Dr. Jie Liang is the Director for the Center for Bioinformatics at the University of Illinois at Chicago.
Content
Protein Structure Prediction by Protein Threading.- De Novo Protein Structure Prediction.- Structure Prediction of Membrane Proteins.- Structure Prediction of Protein Complexes.- Structure-Based Drug Design.- Protein Structure Prediction as a Systems Problem.- Resources and Infrastructure for Structural Bioinformatics.