RNA 3D Structure Analysis and Prediction

  • Neocles Leontis
  • Eric Westhof

Part of the Nucleic Acids and Molecular Biology book series (NUCLEIC, volume 27)

Table of contents

  1. Front Matter
    Pages i-x
  2. Michael Levitt
    Pages 1-3
  3. Neocles Leontis, Eric Westhof
    Pages 5-17
  4. Kornelia Aigner, Fabian Dreßen, Gerhard Steger
    Pages 19-41
  5. Parin Sripakdeevong, Kyle Beauchamp, Rhiju Das
    Pages 43-65
  6. Kristian Rother, Magdalena Rother, Michał Boniecki, Tomasz Puton, Konrad Tomala, Paweł Łukasz et al.
    Pages 67-90
  7. Fredrick Sijenyi, Pirro Saro, Zheng Ouyang, Kelly Damm-Ganamet, Marcus Wood, Jun Jiang et al.
    Pages 91-117
  8. Samuel C. Flores, Magdalena Jonikas, Christopher Bruns, Joy P. Ku, Jeanette Schmidt, Russ B. Altman
    Pages 143-166
  9. Feng Ding, Nikolay V. Dokholyan
    Pages 167-184
  10. John Eargle, Zaida Luthey-Schulten
    Pages 213-238
  11. Jiří Šponer, Judit E. Šponer, Neocles B. Leontis
    Pages 239-279
  12. Back Matter
    Pages 391-400

About this book

Introduction

With the dramatic increase in RNA 3D structure determination in recent years, we now know that RNA molecules are highly structured. Moreover, knowledge of RNA 3D structures has proven crucial for understanding in atomic detail how they carry out their biological functions. Because of the huge number of potentially important RNA molecules in biology, many more than can be studied experimentally, we need theoretical approaches for predicting 3D structures on the basis of sequences alone.  This volume provides a comprehensive overview of current progress in the field by leading practitioners employing a variety of methods to model RNA 3D structures by homology, by fragment assembly, and by de novo energy and knowledge-based approaches.

Keywords

3D Modelling RNA RNA analysis RNA prediction RNA structure

Editors and affiliations

  • Neocles Leontis
    • 1
  • Eric Westhof
    • 2
  1. 1.Dept. ChemistryBowling Green State UniversityBowling GreenUSA
  2. 2.Inst. Biologie Moleculaire, et CellulaireCNRSStrasbourg CXFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-25740-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-3-642-25739-1
  • Online ISBN 978-3-642-25740-7
  • Series Print ISSN 0933-1891
  • Series Online ISSN 1869-2486
  • About this book