Optimisation of miRNA-mRNA relationship prediction using biological features

Jasjit K. Banwait, Hesham H. Ali, Dhundy R. Bastola

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


MicroRNAs are small (approx. 22nt) non-coding RNAs that regulate the expression of genes by either degrading messenger-RNA (mRNA) that has already been transcribed or by repressing the translation of mRNA, thus inhibiting protein production. This mechanism of gene regulation by binding of the miRNA to 3-prime-untranslated region of target mRNAs has been recently discovered. This sequence-specific post-transcriptional gene regulation process affects large set of genes involved in number of biological pathways. Mapping of 7nt long miRNA seed sequence to the target gene has been a standard way of predicting miRNA targets. In this study, we develop a framework to enrich the human miRNA-mRNA relationship based on genomic and structural information.

Original languageEnglish (US)
Pages (from-to)45-60
Number of pages16
JournalInternational Journal of Computational Biology and Drug Design
Issue number1
StatePublished - 2014


  • Functional analysis
  • Gene regulation
  • MiRNA
  • MicroRNA
  • Non-coding RNAs
  • Systems biology
  • Target prediction

ASJC Scopus subject areas

  • Drug Discovery
  • Computer Science Applications


Dive into the research topics of 'Optimisation of miRNA-mRNA relationship prediction using biological features'. Together they form a unique fingerprint.

Cite this