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

Volume Two of this two-volume sequence presents a comprehensive overview of protein structure prediction methods and includes protein threading, De novo methods, applications to membrane proteins and protein complexes, structure-based drug design, as well as structure prediction as a systems problem. A series of appendices review the biological and chemical basics related to protein structure, computer science for structural informatics, and prerequisite mathematics and statistics.

Zielgruppe

Research

Autoren/Hrsg.

Xu, Ying

Xu, Dong

Liang, Jie

Fachgebiete

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

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.