Optimisation of miRNA-mRNA relationship prediction using biological features

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

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

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
Volume7
Issue number1
DOIs
StatePublished - Jan 27 2014

Fingerprint

MicroRNAs
Messenger RNA
Genes
Gene expression
RNA
Untranslated RNA
Seed
3' Untranslated Regions
Proteins
Seeds
Gene Expression

Keywords

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

ASJC Scopus subject areas

  • Computer Science Applications
  • Drug Discovery

Cite this

Optimisation of miRNA-mRNA relationship prediction using biological features. / Banwait, Jasjit K.; Ali, Hesham H; Bastola, Dhundy Raj.

In: International Journal of Computational Biology and Drug Design, Vol. 7, No. 1, 27.01.2014, p. 45-60.

Research output: Contribution to journalArticle

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