Evidence map›Paper›PMID 41807680›Full record

ArticleCommunications chemistry2026

A fluorescent probe under the microscope showing dual recognition of B-DNA and G-quadruplex DNA.

Lorenzo Gramolini, Richard López-Corbalán, Marco Marazzi, Cristina García-Iriepa

Abstract read
In one paragraph

Article in Communications chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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.

Lorenzo GramoliniUniversidad de Alcalá, Departamento de Química Analítica, Química Física e Ingeniería Química, Functional Molecular Systems (FuMSys) Group, Alcalá de Henares, Madrid, Spain.ORCID http://orcid.org/0009-0002-0760-8329
Richard López-CorbalánUniversidad de Alcalá, Departamento de Química Analítica, Química Física e Ingeniería Química, Functional Molecular Systems (FuMSys) Group, Alcalá de Henares, Madrid, Spain.
Marco MarazziUniversidad de Alcalá, Departamento de Química Analítica, Química Física e Ingeniería Química, Functional Molecular Systems (FuMSys) Group, Alcalá de Henares, Madrid, Spain. marco.marazzi@uah.es.ORCID http://orcid.org/0000-0001-7158-7994
Cristina García-IriepaUniversidad de Alcalá, Departamento de Química Analítica, Química Física e Ingeniería Química, Functional Molecular Systems (FuMSys) Group, Alcalá de Henares, Madrid, Spain. cristina.garciai@uah.es.ORCID http://orcid.org/0000-0002-7577-8242

Funding

Comunidad de Madrid CM/DEMG/2024-035
6 · The paper itself

Abstract

The use of small molecules as fluorescent DNA markers has been extensively explored since the mid-1960s, revealing limitations in designing selective probes due to the largely missing relationship between probe structure and DNA conformation. Here, we present a multistep computational protocol applied to a recently proposed fluorescent marker, QCy(MeBT)₃, capable of simultaneously recognizing both B-DNA and G-quadruplex DNA through distinct emission signatures. Our protocol identifies the conformations that enable selective probe-DNA binding and predicts a remarkably high affinity. Moreover, these same conformations are responsible for the different absorption and fluorescence shifts observed experimentally upon binding to B-DNA or G-quadruplex. Overall, we establish a fundamental principle for predicting the performance of fluorescent probes in complex biological environments: the properties of specific molecular conformations determine their photobiophysical fate upon binding to a given DNA sequence, and thus their ability to recognize a particular DNA topology.

Identifiers

PMID41807680
PMCPMC13103450

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Registered trials

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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.