IntaRNA - RNA-RNA interaction

IntaRNA predicts interactions between small RNAs (sRNAs) and target mRNAs in bacteria to identify interaction sites and inform sRNA-mediated post-transcriptional regulation.


Key Features:

  • Target prediction: Predicts mRNA targets for bacterial sRNAs by analyzing sequence complementarity and thermodynamic stability of RNA-RNA duplexes.
  • Interaction domain identification: Maps specific interaction regions within sRNAs and target mRNAs to localize duplex formation sites.
  • Regulatory network analysis: Predicts multiple targets per sRNA to facilitate construction of sRNA-mediated regulatory networks.
  • Integration with CopraRNA: Incorporates comparative prediction algorithms from CopraRNA to refine target identification and interaction domain mapping.
  • Postprocessing functionalities: Performs functional enrichment analysis and provides visualization of interacting regions for interpretation of predicted targets.

Scientific Applications:

  • Gene regulation studies: Enables investigation of sRNA-mediated post-transcriptional regulation by predicting sRNA–mRNA interactions.
  • Pathway analysis: Uses functional enrichment of predicted targets to identify pathways and biological processes regulated by sRNAs.
  • Synthetic biology: Informs design and modification of regulatory circuits by providing sRNA target spectra and interaction site information.

Methodology:

IntaRNA applies sequence alignment and thermodynamic modeling to evaluate the stability of potential RNA-RNA duplexes and can incorporate comparative prediction algorithms from CopraRNA.

Topics

Details

Maturity:
Mature
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
1/20/2016
Last Updated:
1/10/2019

Operations

Publications

Wright PR, Georg J, Mann M, Sorescu DA, Richter AS, Lott S, Kleinkauf R, Hess WR, Backofen R. CopraRNA and IntaRNA: predicting small RNA targets, networks and interaction domains. Nucleic Acids Research. 2014;42(W1):W119-W123. doi:10.1093/nar/gku359. PMID:24838564. PMCID:PMC4086077.

Documentation