Computational Methods for Protein Structure Prediction and Modeling | Volume 1: Basic Characterization

Ying Xu (u. a.)

ISBN 10: 1441922059 / ISBN 13: 9781441922052

Published by Humana, 2010

About this Item

Computational Methods for Protein Structure Prediction and Modeling | Volume 1: Basic Characterization | Ying Xu (u. a.) | Taschenbuch | xx | Englisch | 2010 | Humana | EAN 9781441922052 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Seller Inventory # 107253138

Bibliographic Details

• Title: Computational Methods for Protein Structure Prediction and Modeling | Volume 1: Basic Characterization
• Publisher: Humana
• Publication Date: 2010
• Language: English
• ISBN 10: 1441922059
• ISBN 13: 9781441922052
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 23D millimeters 235 millimeters width by 155 millimeters height by 23 millimeters depth
• Weight: 633 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book provides systematic technical expositions of the computational methods for all major aspects of protein structure analysis, prediction and modeling. The chapters have been designed to address comprehensively the main topics of the field. In addition, chapters will be connected seamlessly through a careful design of the overall structure of the book. Topics have been selected carefully so that the book would be useful to a broad readership, including students, postdoctoral fellows, professional practitioners, as well as bioinformatic experts who want to brush up topics related to their own research areas. The book can be used as a textbook for upper undergraduate-level or beginning graduate-level bioinformatics courses.  To facilitate learning, four appendices describing the prerequisites for reading this book have been included, in (1) biology, (2) computer science, (3) physics and chemistry, and (4) mathematics and statistics.

Each chapter in the book is a self-contained review of a specific subject, designed to cover the following material: (1) the problem definition and a historical perspective, (2) mathematical or computational formulation of the problem, (3) computational methods and algorithms, (4) performance results, (5) existing software packages, and (6) the strengths, pitfalls, challenges, and future research directions.

About the Author

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.