RNA–protein interactions: an overview

A Re, T Joshi, E Kulberkyte, Q Morris… - RNA sequence, structure …, 2014 - Springer
RNA binding proteins (RBPs) are key players in the regulation of gene expression. In this
chapter we discuss the main protein–RNA recognition modes used by RBPs in order to …

[HTML][HTML] Predicting RNA secondary structures from sequence and probing data

R Lorenz, MT Wolfinger, A Tanzer, IL Hofacker - Methods, 2016 - Elsevier
RNA secondary structures have proven essential for understanding the regulatory functions
performed by RNA such as microRNAs, bacterial small RNAs, or riboswitches. This success …

The vienna RNA websuite

AR Gruber, R Lorenz, SH Bernhart… - Nucleic acids …, 2008 - academic.oup.com
Abstract The Vienna RNA Websuite is a comprehensive collection of tools for folding, design
and analysis of RNA sequences. It provides a web interface to the most commonly used …

LocARNA-P: accurate boundary prediction and improved detection of structural RNAs

S Will, T Joshi, IL Hofacker, PF Stadler, R Backofen - Rna, 2012 - rnajournal.cshlp.org
Current genomic screens for noncoding RNAs (ncRNAs) predict a large number of genomic
regions containing potential structural ncRNAs. The analysis of these data requires highly …

IntaRNA: efficient prediction of bacterial sRNA targets incorporating target site accessibility and seed regions

A Busch, AS Richter, R Backofen - Bioinformatics, 2008 - academic.oup.com
Motivation: During the last few years, several new small regulatory RNAs (sRNAs) have
been discovered in bacteria. Most of them act as post-transcriptional regulators by base …

Improved RNA secondary structure prediction by maximizing expected pair accuracy

ZJ Lu, JW Gloor, DH Mathews - Rna, 2009 - rnajournal.cshlp.org
Free energy minimization has been the most popular method for RNA secondary structure
prediction for decades. It is based on a set of empirical free energy change parameters …

TurboFold II: RNA structural alignment and secondary structure prediction informed by multiple homologs

Z Tan, Y Fu, G Sharma, DH Mathews - Nucleic acids research, 2017 - academic.oup.com
This paper presents TurboFold II, an extension of the TurboFold algorithm for predicting
secondary structures for multiple RNA homologs. TurboFold II augments the structure …

The primary transcriptome of barley chloroplasts: numerous noncoding RNAs and the dominating role of the plastid-encoded RNA polymerase

P Zhelyazkova, CM Sharma, KU Förstner, K Liere… - The Plant …, 2012 - academic.oup.com
Gene expression in plastids of higher plants is dependent on two different transcription
machineries, a plastid-encoded bacterial-type RNA polymerase (PEP) and a nuclear …

Predicting in vivo binding sites of RNA-binding proteins using mRNA secondary structure

X Li, G Quon, HD Lipshitz, Q Morris - Rna, 2010 - rnajournal.cshlp.org
While many RNA-binding proteins (RBPs) bind RNA in a sequence-specific manner, their
sequence preferences alone do not distinguish known target RNAs from other potential …

AREsite: a database for the comprehensive investigation of AU-rich elements

AR Gruber, J Fallmann, F Kratochvill… - Nucleic acids …, 2010 - academic.oup.com
AREsite is an online resource for the detailed investigation of AU-rich elements (ARE) in
vertebrate mRNA 3′-untranslated regions (UTRs). AREs are one of the most prominent cis …