Evidence map›Paper›PMID 42231371›Full record

ArticleHuman genomics2026

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

Auroni Deep, Utsab Das, Perumal Vivekanandan, Saran Kumar

Abstract read
In one paragraph

Article in Human genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Polyamines are i-motif disruptors.Molecular therapy. Nucleic acids · 2026
    Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Auroni DeepKusuma School of Biological Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India.
Utsab DasDepartment of Mathematics and Computing, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India.
Perumal VivekanandanKusuma School of Biological Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India. vperumal@bioschool.iitd.ac.in.
Saran KumarKusuma School of Biological Sciences, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, 110016, India. ksaran@iitd.ac.in.

Funding

Department of Biotechnology, Ministry of Science and Technology, India BT/PR46424/MED/30/2449/2023Indian Council of Medical Research IIRP-2023-2341Indian Institute of Technology Delhi IIT Delhi Institutional GrantsMinistry of Education, India Prime Minister's Research FellowshipScience and Engineering Research Board SRG/2022/000657
6 · The paper itself

Abstract

backgroundNon-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).

resultsQuaDB 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.

conclusionWith 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.

Indexed as

Computational BiologyDNAG-QuadruplexesSoftwareHumansInternetDNAG-Quadruplexesi-MotifsPutative Quadruplex Sequences (PQS)Web application

Identifiers

PMID42231371
PMCPMC13474911

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.