• DocumentCode
    599137
  • Title

    Enriching miRNA binding site specificity with sequence profile based filtering of 3´-UTR region of mRNA

  • Author

    Banwait, J.K. ; Ali, Hamza ; Bastola, Dhundy K.

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Univ. of Nebraska at Omaha, Omaha, NE, USA
  • fYear
    2012
  • fDate
    4-7 Oct. 2012
  • Firstpage
    558
  • Lastpage
    563
  • Abstract
    MicroRNAs are small (approx. 22nt) noncoding RNAs that regulate gene expression by either degrading messenger-RNA (mRNA) that has already been transcribed or by repressing the translation of mRNA. This mechanism of gene regulation by binding of the miRNA to 3-prime-UTR of target mRNAs has been recently discovered and sequence-specific post-transcriptional gene regulation process affects large set of genes involved in number of biological pathways. Mapping of 7nt long miRNAseed sequence to the target gene has been a standard way of predicting miRNA targets. In this study, we have generated a profile-based filter to increase the specificity of human miRNA-mRNA relationship thereby enriching true-positive miRNA target sitesin humans based on sequence information.
  • Keywords
    RNA; biology computing; filtering theory; genetics; molecular biophysics; molecular configurations; 3´-UTR region filtering; 3-prime-UTR; biological pathways; gene expression; human miRNA-mRNA relationship; mRNA translation; messenger-RNA; miRNA binding site specificity; miRNAseed sequence; noncoding RNAs; profile-based filter; sequence information; sequence profile; sequence-specific post-transcriptional gene regulation process; true-positive miRNA target sitesin humans; Databases; Hidden Markov models; Humans; Information filters; RNA; gene regulation; miRNA; microRNA; non-coding RNAs; target prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine Workshops (BIBMW), 2012 IEEE International Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    978-1-4673-2746-6
  • Electronic_ISBN
    978-1-4673-2744-2
  • Type

    conf

  • DOI
    10.1109/BIBMW.2012.6470200
  • Filename
    6470200