What question did this study set out to answer?

To create a comprehensive atlas of miRNA target binding affinities influenced by m6A modifications in different RNA regions.

May 2, 2026Open Access

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Multi-region human miRNA target binding affinity atlas with m6A modulation flag

Key Points

To create a comprehensive atlas of miRNA target binding affinities influenced by m6A modifications in different RNA regions.
Developed a multi-region binding affinity atlas for 2,656 human miRNAs across 5 transcript regions.
Applied biophysical modeling for ribosome occupancy and translation rate in the binding processes.
Conducted validation using existing binding affinity panels and analysis based on DRACH motif scans.
Achieved validation of 3'UTR binding with Pearson R = 0.847 against established datasets.
Demonstrated median weakening factors of 2.60x and 2.00x for CDS and 5'UTR pipelines respectively.
Atlas provides an external resource of 69.78 GB for user queries and analysis.

Abstract

Closed-form multi-region atlas of human miRNA target binding affinity covering 3'UTR, 5'UTR, CDS, and lncRNA regions. 2, 656 mature human miRNAs (miRBase v22) by 19, 542 canonical human protein-coding transcripts (GENCODE v47), with region-appropriate biophysical weakening factors derived in closed form from cellular context (translation rate, scanning ribosome occupancy, cap-binding exclusion). m6A modulation flag via DRACH consensus motif scan (9. 33M sites annotated). Coverage: 2, 656 mature human miRNAs (full miRBase v22 hsa) across up to 5 transcript regions per pair (3'UTR, 5'UTR, CDS, lncRNA, circRNA), with per-site DRACH m6A overlap flag. CDS pipeline is the closed form ribosome displacement three state Markov chain steady-state correction; validation panel n=25 passes all three validation gates with median weakening 2. 60x. 5'UTR pipeline is the closed-form scanning-ribosome displacement with shorter tauₒccupy = 0. 6 s and cap-proximity exclusion mask at d v2 -> v3 progression) - CITATION. cff (machine-readable citation) - clipseqbench/ (CLIP-seq concordance bench: TSVs, JSON, figures, scripts) - drugdesigndemo/ (5 clinical candidates: notebook, recovery TSVs, scripts) - queryₐtlasᵥ3. py (Python helper for atlas queries)

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Cite This Study

Coracle Research (Thu,) studied this question.

synapsesocial.com/papers/69f594fc71405d493affff30 https://doi.org/https://doi.org/10.5281/zenodo.19932284

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