
Computational Methods for Protein Structure Prediction and Modeling
Volume 2: Structure Prediction
Published on 1. December 2010
Book
Paperback/Softback
XX, 322 pages
978-1-4419-2206-9 (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
Softcover reprint of hardcover 1st ed. 2007
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Product notice
Paperback (trade)
Unsewn / adhesive bound
Illustrations
41 s/w Abbildungen
XX, 322 p. 41 illus.
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 18 mm
Weight
481 gr
ISBN-13
978-1-4419-2206-9 (9781441922069)
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
E-Book
05/2010
1st Edition
Springer
€149.79
Available for download

Ying Xu | Dong Xu | Jie Liang
Computational Methods for Protein Structure Prediction and Modeling
Volume 2: Structure Prediction
Book
12/2006
Springer
€160.49
Shipment within 5-7 days
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.