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

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 recen...

Full description

Saved in:
Bibliographic Details
Published in2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops pp. 558 - 563
Main Authors Banwait, J. K., Ali, H., Bastola, D. K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2012
Subjects
gene regulation
Hidden Markov models
Humans
Information filters
microRNA
miRNA
non-coding RNAs
RNA
target prediction
Online AccessGet full text

Cover

More Information
Summary: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.
ISBN:9781467327466
1467327468
DOI:10.1109/BIBMW.2012.6470200