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.