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Computational Methods for Protein Structure Prediction and Modeling

Volume 2: Structure Prediction

  • Book
  • © 2007

Overview

  • Presents a comprehensive overview of protein structure prediction methods
  • 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
  • Covers topics from De novo methods of protein structure prediction to structure based drug design

Part of the book series: Biological and Medical Physics, Biomedical Engineering (BIOMEDICAL)

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Table of contents (7 chapters)

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About this book

Volume 2 of this two-volume sequence focuses on protein structure prediction 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.

Editors and Affiliations

  • Department of Biochemistry and Molecular Biology, University of Georgia, Athens, USA

    Ying Xu

  • Department of Computer Science Digital Biology Laboratory, University of Missouri—Columbia, West Columbia, USA

    Dong Xu

  • Department of Bioengineering Center for Bioinformatics, University of Illinois at Chicago, Chicago, USA

    Jie Liang

About the editors

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.

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