Evidence map›Paper›PMID 31583481›Full record

ArticleThe European physical journal. E, Soft matter2019

Pixantrone anticancer drug as a DNA ligand: Depicting the mechanism of action at single molecule level.

C H M Lima, J M Caquito, R M de Oliveira, M S Rocha

Abstract read
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In one paragraph

Article in The European physical journal. E, Soft matter, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 29% of its field
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

3 citing papers in PubMed, 9 citations in OpenAlex.

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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 at 1 institution in 1 country.

C H M LimaLaboratório de Física Biológica, Departamento de Física, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
J M CaquitoLaboratório de Física Biológica, Departamento de Física, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
R M de OliveiraLaboratório de Física Biológica, Departamento de Física, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
M S RochaLaboratório de Física Biológica, Departamento de Física, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil. marcios.rocha@ufv.br.
Universidade Federal de Viçosa · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work we use single molecule force spectroscopy performed with optical tweezers in order to characterize the complexes formed between the anticancer drug Pixantrone (PIX) and the DNA molecule, at two very different ionic strengths. Firstly, the changes of the mechanical properties of the DNA-PIX complexes were studied as a function of the drug concentration in the sample. Then, a quenched-disorder statistical model of ligand binding was used in order to determine the physicochemical (binding) parameters of the DNA-PIX interaction. In particular, we have found that the PIX molecular mechanism of action involves intercalation into the double helix, followed by a significant compaction of the DNA molecule due to partial neutralization of the phosphate backbone. Finally, this scenario of interaction was quantitatively compared to that found for the related drug Mitoxantrone (MTX), which binds to DNA with a considerably higher equilibrium binding constant and promotes a much stronger DNA compaction. The comparison performed between the two drugs can bring clues to the development of new (and more efficient) related compounds.

Indexed as

Antineoplastic AgentsDNAIntercalating AgentsIsoquinolinesLigandsOptical TweezersSingle Molecule ImagingAntineoplastic AgentsDNAIntercalating AgentsIsoquinolinesLigandspixantroneLiving systems: Structure and Function

Identifiers

PMID31583481
OpenAlexW2977699147

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.