@article {EmidioCapriotti05292009,
	title = {SARA: a server for function annotation of RNA structures},
	journal = {Nucl. Acids Res.},
	year = {2009},
	pages = {gkp433},
	abstract = {<p>Recent interest in non-coding RNA transcripts has resulted in a rapid increase of deposited RNA structures in the Protein Data Bank. However, a characterization and functional classification of the RNA structure and function space have only been partially addressed. Here, we introduce the SARA program for pair-wise alignment of RNA structures as a web server for structure-based RNA function assignment. The SARA server relies on the SARA program, which aligns two RNA structures based on a unit-vector root-mean-square approach. The likely accuracy of the SARA alignments is assessed by three different P-values estimating the statistical significance of the sequence, secondary structure and tertiary structure identity scores, respectively. Our benchmarks, which relied on a set of 419 RNA structures with known SCOR structural class, indicate that at a negative logarithm of mean P-value higher or equal than 2.5, SARA can assign the correct or a similar SCOR class to 81.4\% and 95.3\% of the benchmark set, respectively. The SARA server is freely accessible via the World Wide Web at http://sgu.bioinfo.cipf.es/services/SARA/.</p>},
	keywords = {RNA, RNA structure},
	doi = {10.1093/nar/gkp433},
	url = {http://nar.oxfordjournals.org/cgi/content/abstract/gkp433v1},
	author = {Capriotti, Emidio and M. A. Marti-Renom}
}
