Evidence map›Paper›PMID 42179111›Full record

ArticleChembiochem : a European journal of chemical biology2026

DNA Scission by Non-Histidine Amino-Terminal Cu(II) and Ni(II) Binding-Like Peptides.

Lena K Müller, Hanna Zhdanova, Ivan N Unksov, Alexander Gräwe, Joshua Stahl, Viktor Stein, Daniel Tietze, Alesia A Tietze

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Chembiochem : a European journal of chemical biology, 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

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

1 citing paper in PubMed.

  1. DNA Scission by Non-Histidine Amino-Terminal Cu(II) and Ni(II) Binding-Like Peptides.Chembiochem : a European journal of chemical biology · 2026
    Article
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

8 authors.

Lena K MüllerClemens-Schöpf Institute for Organic Chemistry and Biochemistry, Darmstadt University of Technology, Darmstadt, Germany.
Hanna ZhdanovaDepartment of Chemistry and Molecular Biology, Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.
Ivan N UnksovDepartment of Chemistry and Molecular Biology, Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.
Alexander GräweDepartment of Biology, Darmstadt University of Technology, Darmstadt, Germany.
Joshua StahlClemens-Schöpf Institute for Organic Chemistry and Biochemistry, Darmstadt University of Technology, Darmstadt, Germany.
Viktor SteinDepartment of Biology, Darmstadt University of Technology, Darmstadt, Germany.
Daniel TietzeDepartment of Chemistry and Molecular Biology, Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.
Alesia A TietzeDepartment of Chemistry and Molecular Biology, Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0000-0002-9281-548X

Funding

Cancerfonden 254861iNAPOKnut and Alice Wallenberg FoundationLiebig FellowshipVetenskapsrådet 2025-05306
6 · The paper itself

Abstract

Metallopeptides are promising candidates for drug design, ranging from anticancer agents to antimicrobials. We report the ability of non-His-containing metallopeptides to induce scission of plasmid DNAs that carry antibiotic resistance genes. The peptide Ac-Dap-β-Ala-His-PEG

Indexed as

CopperDNANickelPeptidesHistidineHydrogen-Ion ConcentrationPlasmidsCopperDNAHistidineNickelPeptidesamino‐terminal Cu(II) and Ni(II) binding (ATCUN) peptidescopper coordinationDNA scissionmetallopeptidesplasmids

Identifiers

PMID42179111
PMCPMC13206376

What OpenQuestion holds

Textmetadata
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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.