Sequence-based prioritization of i-Motif candidates in the human genome

This work presents a scalable and statistically robust method to enrich for biologically relevant iM sequences, providing a valuable resource for future experimental validation and the rational design of ligands targeting iMs to modulate gene expression in contexts such as cancer.

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Publication Details

Journal
Frontiers in Bioinformatics
Published
2025-08-12
DOI
https://doi.org/10.3389/fbinf.2025.1657841
Citations
1
Primary Topic
RNA and protein synthesis mechanisms
Type
article
Field-Weighted Citation Impact
0.81
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article

Sequence-based prioritization of i-Motif candidates in the human genome

Mauro Fasano, Veronica Remori, Michela Prest
1 citations
Frontiers in Bioinformatics
RNA and protein synthesis mechanisms
0.81
article

Sequence-based prioritization of i-Motif candidates in the human genome

Mauro Fasano, Veronica Remori, Michela Prest
article en
1 citations

Abstract

This work presents a scalable and statistically robust method to enrich for biologically relevant iM sequences, providing a valuable resource for future experimental validation and the rational design of ligands targeting iMs to modulate gene expression in contexts such as cancer.

Frontiers in BioinformaticsVol. 5
University of Insubria (IT), Ospedale di Circolo di Busto Arsizio (IT)
Life in Land
Openalex Percentile: Top 25%
RNA and protein synthesis mechanisms
0.81
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