↓ Skip to main content

RNA Structure Determination

Overview of attention for book
Attention for Chapter 12: Modeling Small Noncanonical RNA Motifs with the Rosetta FARFAR Server
Altmetric Badge

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
20 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Modeling Small Noncanonical RNA Motifs with the Rosetta FARFAR Server
Chapter number 12
Book title
RNA Structure Determination
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-6433-8_12
Pubmed ID
Book ISBNs
978-1-4939-6431-4, 978-1-4939-6433-8
Authors

Joseph D. Yesselman, Rhiju Das

Abstract

Noncanonical RNA motifs help define the vast complexity of RNA structure and function, and in many cases, these loops and junctions are on the order of only ten nucleotides in size. Unfortunately, despite their small size, there is no reliable method to determine the ensemble of lowest energy structures of junctions and loops at atomic accuracy. This chapter outlines straightforward protocols using a webserver for Rosetta Fragment Assembly of RNA with Full Atom Refinement (FARFAR) ( http://rosie.rosettacommons.org/rna_denovo/submit ) to model the 3D structure of small noncanonical RNA motifs for use in visualizing motifs and for further refinement or filtering with experimental data such as NMR chemical shifts.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 35%
Professor 4 20%
Student > Postgraduate 2 10%
Student > Ph. D. Student 1 5%
Student > Doctoral Student 1 5%
Other 2 10%
Unknown 3 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 50%
Agricultural and Biological Sciences 4 20%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Computer Science 1 5%
Chemistry 1 5%
Other 0 0%
Unknown 3 15%