Editors:
- First book on RNA 3D structure prediction based on sequence data alone
- Gives a comprehensive overview on the current status and progress in the field
- Covers a variety of RNA prediction methods
- Includes supplementary material: sn.pub/extras
Part of the book series: Nucleic Acids and Molecular Biology (NUCLEIC, volume 27)
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Table of contents (17 chapters)
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Front Matter
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Back Matter
About this book
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.
Editors and Affiliations
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Dept. Chemistry, Bowling Green State University, Bowling Green, USA
Neocles Leontis
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Inst. Biologie Moleculaire, et Cellulaire, CNRS, Strasbourg CX, France
Eric Westhof
Bibliographic Information
Book Title: RNA 3D Structure Analysis and Prediction
Editors: Neocles Leontis, Eric Westhof
Series Title: Nucleic Acids and Molecular Biology
DOI: https://doi.org/10.1007/978-3-642-25740-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2012
Hardcover ISBN: 978-3-642-25739-1Published: 05 May 2012
Softcover ISBN: 978-3-642-44569-9Published: 11 June 2014
eBook ISBN: 978-3-642-25740-7Published: 05 June 2012
Series ISSN: 0933-1891
Series E-ISSN: 1869-2486
Edition Number: 1
Number of Pages: X, 402