From Protein Structure to Function with Bioinformatics

  • Daniel John Rigden

Table of contents

  1. Front Matter
    Pages i-xv
  2. Generating and Inferring Structures

    1. Jooyoung Lee, Sitao Wu, Yang Zhang
      Pages 3-25
    2. Lawrence A. Kelley
      Pages 27-55
    3. András Fiser
      Pages 57-90
    4. Timothy Nugent, David T. Jones
      Pages 91-111
  3. From Structures to Functions

    1. Benoit H. Dessailly, Christine A. Orengo
      Pages 143-166
    2. Nicholas J. Burgoyne, Richard M. Jackson
      Pages 167-186
    3. Elaine C. Meng, Benjamin J. Polacco, Patricia C. Babbitt
      Pages 187-216
    4. Marcus B. Kubitzki, Bert L. de Groot, Daniel Seeliger
      Pages 217-249
    5. James D. Watson, Janet M. Thornton
      Pages 273-291
    6. Iwona A. Cymerman, Daniel J. Rigden, Janusz M. Bujnicki
      Pages 293-317
  4. Back Matter
    Pages 319-324

About this book

Introduction

Proteins lie at the heart of almost all biological processes and have an incredibly wide range of activities. Central to the function of all proteins is their ability to adopt, stably or sometimes transiently, structures that allow for interaction with other molecules. An understanding of the structure of a protein can therefore lead us to a much improved picture of its molecular function. This realisation has been a prime motivation of recent Structural Genomics projects, involving large-scale experimental determination of protein structures, often those of proteins about which little is known of function. These initiatives have, in turn, stimulated the massive development of novel methods for prediction of protein function from structure. Since model structures may also take advantage of new function prediction algorithms, the first part of the book deals with the various ways in which protein structures may be predicted or inferred, including specific treatment of membrane and intrinsically disordered proteins. A detailed consideration of current structure-based function prediction methodologies forms the second part of this book, which concludes with two chapters, focusing specifically on case studies, designed to illustrate the real-world application of these methods. With bang up-to-date texts from world experts, and abundant links to publicly available resources, this book will be invaluable to anyone who studies proteins and the endlessly fascinating relationship between their structure and function.

Keywords

CASP Gene Ontology Secondary structure algorithms bioinformatics classification databases dynamics genome hidden markov model membrane proteins protein structure protein structure prediction

Editors and affiliations

  • Daniel John Rigden
    • 1
  1. 1.School of Biological SciencesUniversity of LiverpoolLiverpoolUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4020-9058-5
  • Copyright Information Springer Netherlands 2009
  • Publisher Name Springer, Dordrecht
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-1-4020-9057-8
  • Online ISBN 978-1-4020-9058-5
  • About this book