Computational Methods for Protein Structure Prediction and Modeling

Volume 2: Structure Prediction
1. Auflage. Softcover version of original hardcover Auflage 2007
ISBN: 978-1-4419-2206-9
Verlag: Springer

Buch, Englisch, 322 Seiten, Previously published in hardcover, Format (B × H): 156 mm x 234 mm, Gewicht: 481 g

Reihe: Biological and Medical Physics, Biomedical Engineering

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. 

Zielgruppe

Research

Autoren/Hrsg.

Xu, Ying

Xu, Dong

Liang, Jie

Fachgebiete

• Naturwissenschaften Physik Angewandte Physik Biophysik
• Naturwissenschaften Biowissenschaften Angewandte Biologie Biophysik
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Naturwissenschaften Biowissenschaften Biochemie (nichtmedizinisch)
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Naturwissenschaften Biowissenschaften Proteinforschung

Inhaltsverzeichnis

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.

Über Autor(innen)

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.