Computational Methods for Protein Structure Prediction and Modeling -

Computational Methods for Protein Structure Prediction and Modeling

Volume 2: Structure Prediction

Ying Xu, Dong Xu, Jie Liang (Herausgeber)

Buch | Hardcover
322 Seiten
2006
Springer-Verlag New York Inc.
978-0-387-33321-2 (ISBN)
213,99 inkl. MwSt
Presents an overview of protein structure prediction methods. This volume focuses on protein structure prediction and includes protein threading, De novo methods, applications to membrane proteins and protein complexes, structure-based drug design, and structure prediction as a systems problem.
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.

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.

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.

Erscheint lt. Verlag 15.12.2006
Reihe/Serie Biological and Medical Physics, Biomedical Engineering
Zusatzinfo 41 Illustrations, black and white; XX, 322 p. 41 illus.
Verlagsort New York, NY
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Weitere Themen Bioinformatik
Naturwissenschaften Biologie Biochemie
Naturwissenschaften Physik / Astronomie Angewandte Physik
ISBN-10 0-387-33321-5 / 0387333215
ISBN-13 978-0-387-33321-2 / 9780387333212
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich

von Nadine Reinicke

Buch | Softcover (2021)
Urban & Fischer in Elsevier (Verlag)
19,00