TargetS

TargetS predicts microRNA (miRNA) target sites across entire gene sequences by integrating canonical and non-canonical seed matching while not requiring evolutionary conservation.

Key Features:

• Expanded target search space: Identifies miRNA target sites along entire gene sequences rather than restricting predictions to 3' untranslated regions (3' UTRs).
• Seed matching flexibility: Incorporates both canonical and non-canonical seed pairing and allows a single G:U (GU) wobble in seed pairing.
• Independence from evolutionary conservation: Predicts targets without requiring conserved sequences, enabling detection of species-specific miRNA-mRNA interactions.
• High sensitivity and comparative performance: Demonstrated superior sensitivity relative to TargetScanS, PicTar, and MicroT_CDS while maintaining comparable accuracy on benchmark datasets.

Scientific Applications:

• Comprehensive miRNA regulatory network analysis: Enables discovery of targets beyond 3' UTRs to map broader miRNA-mediated regulation.
• Species-specific interaction discovery: Facilitates identification of non-conserved, species-specific miRNA-mRNA interactions.
• Studies of complex gene expression patterns: Supports analysis of miRNA roles in regulating transcripts across full gene sequences.
• Investigation of biological processes and diseases: Aids in elucidating miRNA contributions to biological processes and disease mechanisms.

Methodology:

Computational model integrating canonical and non-canonical seed matching (allowing one G:U wobble), scanning entire gene sequences without relying on evolutionary conservation, and validated against benchmark datasets.