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Computational Methods for Protein Structure Prediction and Modeling

Volume 1: Basic Characterization

  • Ying Xu
  • Dong Xu
  • Jie Liang

Part of the BIOLOGICAL AND MEDICAL PHYSICS BIOMEDICAL ENGINEERING book series (BIOMEDICAL)

Table of contents

  1. Front Matter
    Pages I-XX
  2. Alexander D. MacKerell Jr.
    Pages 45-69
  3. Stella Veretnik, Ilya Shindyalov
    Pages 125-145
  4. Orhan Çamoğlu, Ambuj K. Singh
    Pages 147-180
  5. Victo A. Simossis, Jaap Heringa
    Pages 207-254
  6. Xin Yuan, Christopher Bystroff
    Pages 255-277
  7. Jun-tao Guo, Carol K. Hall, Ying Xu, Ronald Wetzel
    Pages 279-317
  8. Back Matter
    Pages 389-395

About this book

Introduction

Volume one of this two volume sequence focuses on the basic characterization of known protein structures as well as structure prediction from protein sequence information. The 11 chapters provide an overview of the field, covering key topics in modeling, force fields, classification, computational methods, and struture prediction. Each chapter is a self contained review designed to cover (1) definition of the problem and an historical perspective, (2) mathematical or computational formulation of the problem, (3) computational methods and algorithms, (4) performance results, (5) existing software packages, and (6) strengths, pitfalls, challenges, and future research directions.

Keywords

Biophysics algorithms biochemistry bioinformatics modeling protein structures protein sequence protein sequence information protein structure protein structure prediction

Editors and affiliations

  • Ying Xu
    • 1
  • Dong Xu
    • 2
  • Jie Liang
    • 3
  1. 1.Department of Biochemistry and Molecular BiologyUniversity of GeorgiaAthensUSA
  2. 2.Department of Computer Science Digital Biology LaboratoryUniversity of Missouri-ColumbiaColumbiaUSA
  3. 3.Department of Bioengineering Center for BioinformaticsUniversity of Illinois at ChicagoChicagoUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-68372-0
  • Copyright Information Springer 2007
  • Publisher Name Springer, New York, NY
  • eBook Packages Physics and Astronomy
  • Print ISBN 978-0-387-33319-9
  • Online ISBN 978-0-387-68372-0
  • Series Print ISSN 1618-7210
  • Buy this book on publisher's site
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