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Background <p>Non-canonical DNA structures, such as G-Quadruplexes (G4s) and i-Motifs (iMs), are pivotal in gene regulation and cellular processes. However, current computational methods for identifying their genomic precursors, Putative G4 Sequences (PGS) and Putative iM Sequences (PIS), primarily rely on manual sequence retrieval and input, thus hindering large-scale analyses essential for deciphering their biological functions. To address this, we present QuaDB, a user-friendly web application designed for identifier-based, rapid prediction of Putative Quadruplex Sequences (PQS).</p> Results <p>QuaDB streamlines the analytical workflow by enabling real-time sequence retrieval from Ensembl and NCBI using gene identifiers, coupled with automated region-specific analysis across promoter, gene body, and 3’ downstream regions. The tool employs a robust, biologically informed scoring model that accurately identifies and scores quadruplex structures, aligning with experimental validation through circular dichroism and thermal melting studies. This validation demonstrated a direct correlation between QuaDB scores and thermal stability.</p> Conclusion <p>With its efficient processing and intuitive interface, QuaDB facilitates comprehensive, large-scale genomic investigations, complementing existing tools by offering a unique identifier-based retrieval and region-aware analytical pipeline for exploring the widespread biological significance of these intriguing DNA structures. The web application can be accessed through: quadb.iitd.ac.in.</p> Graphical Abstract <p></p>

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QuaDB: A streamlined web tool for identifier-based rapid prediction of putative quadruplex sequences

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年6月2日

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  • Auroni Deep,
  • Utsab Das,
  • Perumal Vivekanandan,
  • Saran Kumar

摘要

Background

Non-canonical DNA structures, such as G-Quadruplexes (G4s) and i-Motifs (iMs), are pivotal in gene regulation and cellular processes. However, current computational methods for identifying their genomic precursors, Putative G4 Sequences (PGS) and Putative iM Sequences (PIS), primarily rely on manual sequence retrieval and input, thus hindering large-scale analyses essential for deciphering their biological functions. To address this, we present QuaDB, a user-friendly web application designed for identifier-based, rapid prediction of Putative Quadruplex Sequences (PQS).

Results

QuaDB streamlines the analytical workflow by enabling real-time sequence retrieval from Ensembl and NCBI using gene identifiers, coupled with automated region-specific analysis across promoter, gene body, and 3’ downstream regions. The tool employs a robust, biologically informed scoring model that accurately identifies and scores quadruplex structures, aligning with experimental validation through circular dichroism and thermal melting studies. This validation demonstrated a direct correlation between QuaDB scores and thermal stability.

Conclusion

With its efficient processing and intuitive interface, QuaDB facilitates comprehensive, large-scale genomic investigations, complementing existing tools by offering a unique identifier-based retrieval and region-aware analytical pipeline for exploring the widespread biological significance of these intriguing DNA structures. The web application can be accessed through: quadb.iitd.ac.in.

Graphical Abstract