Evidence map›Paper›PMID 38982342›Full record

ArticleInorganic chemistry2024

Design of Multivariate Biological Metal-Organic Frameworks: Toward Mimicking Active Sites of Enzymes.

Javier Navarro-Alapont, Cristina Negro, Sergio Navalón, Amarajothi Dhakshinamoorthy, Donatella Armentano, Jesús Ferrando-Soria, Emilio Pardo

Abstract read
In one paragraph

Article in Inorganic chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Metal-Organic Framework Multizyme Colloids with Joint Antioxidant and Protease Function.Langmuir : the ACS journal of surfaces and colloids · 2026
    Article
  3. Article
  4. Synzymes: The Future of Modern Enzyme Engineering.Applied biochemistry and biotechnology · 2025
    Review
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

7 authors.

Javier Navarro-AlapontInstituto de Ciencia Molecular (ICMol), Universidad de Valencia, 46980 Paterna, Valencia, Spain.
Cristina NegroInstituto de Ciencia Molecular (ICMol), Universidad de Valencia, 46980 Paterna, Valencia, Spain.
Sergio NavalónDepartamento de Química, Universitat Politècnica de València, Camino de Vera s/n, Valencia 46022, Spain.ORCID 0000-0001-8423-0759
Amarajothi DhakshinamoorthyDepartamento de Química, Universitat Politècnica de València, Camino de Vera s/n, Valencia 46022, Spain.
Donatella ArmentanoDipartimento di Chimica e Tecnologie Chimiche (CTC), Università della Calabria, Rende 87036 Cosenza, Italy.ORCID 0000-0002-8502-8074
Jesús Ferrando-SoriaInstituto de Ciencia Molecular (ICMol), Universidad de Valencia, 46980 Paterna, Valencia, Spain.
Emilio PardoDepartamento de Química, Universitat Politècnica de València, Camino de Vera s/n, Valencia 46022, Spain.ORCID 0000-0002-1394-2553

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mimicking enzymatic processes carried out by natural enzymes, which are highly efficient biocatalysts with key roles in living organisms, attracts much interest but constitutes a synthetic challenge. Biological metal-organic frameworks (bioMOFs) are potential candidates to be enzyme catalysis mimics, as they offer the possibility to combine biometals and biomolecules into open-framework porous structures capable of simulating the catalytic pockets of enzymes. In this work, we first study the catalase activity of a previously reported bioMOF, derived from the amino acid

Indexed as

Biomimetic MaterialsCatalaseCatalytic DomainMetal-Organic FrameworksHydrogen PeroxideModels, MolecularCatalaseHydrogen PeroxideMetal-Organic Frameworks

Identifiers

PMID38982342
PMCPMC11271005

What OpenQuestion holds

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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.