In silico structural insight and functional evaluation to predict novel non-coding RNAs of Enterobacter cloacae complex

Abstract

The non-coding RNA (ncRNA) produces functional RNA molecules instead of encoding proteins, however, the ncRNAs contain information to perform the function. Most genetic information is encoded by proteins while most of the genetic information of mammals and other complex organisms is transcribed into ncRNAs. The current study was designed to predict the ncRNAs in the genome of the Enterobacter cloacae complex by employing in silico approaches. Various putative ncRNAs were predicted in four different species of Enterobacter cloacae complex. Extensive in silico analyses were performed and specific promoters were predicted for all the selected ncRNAs. The predicted promoter regions were validated for further analyses. The selected ncRNA was utilized for secondary structure prediction. All the predicted secondary structures were validated through various evaluation tools and secondary structures were observed suitable. All the selected ncRNAs were observed stable and characterized based on hairpin loops, least MFE value and promoter regions. In conclusion, the predicted ncRNAs have the ability to perform stable functions.