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Updated: May 14, 2026

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library
08:40

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library

Published on: April 6, 2012

Searching the coding region for microRNA targets

Ray M Marín1, Miroslav Sulc, Jirí Vanícek

  • 1École Polytechnique Fédérale de Lausanne,CH-1015 Lausanne, Switzerland.

RNA (New York, N.Y.)
|February 14, 2013
PubMed

Insights

We developed PACCMIT-CDS, a new algorithm to identify microRNA targets within coding DNA sequences. This method improves accuracy by analyzing conserved, complementary motifs and outperforms existing tools for microRNA target prediction.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Identifying microRNA targets in coding sequences is challenging due to complex amino acid encoding.
  • Existing algorithms primarily focus on 3' untranslated regions (UTRs).

Purpose of the Study:

  • To introduce PACCMIT-CDS, a novel algorithm for microRNA target prediction within coding sequences.
  • To enhance the accuracy and reduce false positives in microRNA target identification.

Main Methods:

  • Developed PACCMIT-CDS algorithm to search for conserved, seed-complementary motifs in coding sequences.
  • Utilized a background model that preserves codon usage and amino acid sequence.
  • Evaluated algorithm performance using Protein-AarLiP (PAR-CLIP) and proteomics data.

Main Results:

  • PACCMIT-CDS effectively identifies potential microRNA targets within coding sequences.
  • The algorithm demonstrates a lower false positive rate compared to existing methods.
  • Achieved superior ranking of predicted microRNA targets.

Conclusions:

  • PACCMIT-CDS offers a more precise approach to microRNA target prediction in coding regions.
  • The method provides a valuable tool for understanding microRNA function in gene regulation.

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