Evidence map›Paper›PMID 41053508›Full record

ArticleCommunications chemistry2025

A bioinformatics approach to design minimal biomimetic metal-binding peptides.

Claudia Spallacci, Marco Chino, Antonio Rosato, Ornella Maglio, Ping Huang, Luca D'Amario, Angela Lombardi, Claudia Andreini, Mun Hon Cheah

Abstract read
In one paragraph

Article in Communications chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Claudia SpallacciMolecular Biomimetics, Department of Chemistry-Ångström Laboratory, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0009-0001-2686-139X
Marco ChinoDepartment of Chemical Sciences, University of Naples Federico II, Napoli, Italy.ORCID http://orcid.org/0000-0002-0436-3293
Antonio RosatoDepartment of Chemistry, University of Florence, Sesto Fiorentino, Italy.
Ornella MaglioDepartment of Chemical Sciences, University of Naples Federico II, Napoli, Italy.ORCID http://orcid.org/0000-0002-7829-1907
Ping HuangMolecular Biomimetics, Department of Chemistry-Ångström Laboratory, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-7676-6905
Luca D'AmarioMolecular Biomimetics, Department of Chemistry-Ångström Laboratory, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-0510-5541
Angela LombardiDepartment of Chemical Sciences, University of Naples Federico II, Napoli, Italy. alombard@unina.it.ORCID http://orcid.org/0000-0002-2013-3009
Claudia AndreiniDepartment of Chemistry, University of Florence, Sesto Fiorentino, Italy. claudia.andreini@unifi.it.
Mun Hon CheahMolecular Biomimetics, Department of Chemistry-Ångström Laboratory, Uppsala University, Uppsala, Sweden. michael.cheah@kemi.uu.se.ORCID http://orcid.org/0000-0001-5732-1524

Funding

Energimyndigheten (Swedish Energy Agency) 50529-1
6 · The paper itself

Abstract

Nature-inspired or biomimetic catalysts aim to reach the high catalytic performance and selectivity of natural enzymes while possessing the chemical stability and processability of synthetic catalysts. A promising strategy for designing biomimetic catalysts relies on mimicking the structure of the enzyme active site. This can either entail complicated total synthesis of a synthetic catalyst or design of peptide sequences, able to self-assemble in the presence of metal ions, thus forming metallo-peptide complexes that mimic the active sites of natural enzymes. Using a bioinformatics approach, we designed a minimal peptide made up of eight amino acids (H4pep) to act as a functional mimic of the trinuclear Cu site of the laccase enzyme. Cu(II) binding to H4pep results in the formation of a Cu

Identifiers

PMID41053508
PMCPMC12501389

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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.