Evidence map›Paper›PMID 34084381›Full record

ArticleChemical science2019

ATP-fuelled self-assembly to regulate chemical reactivity in the time domain.

Maria A Cardona, Leonard J Prins

Abstract read
In one paragraph

Article in Chemical science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Chemically-fueled phase transition of a redox-responsive polymer.Science and technology of advanced materials · 2025
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Transient Host-Guest Complexation To Control Catalytic Activity.Journal of the American Chemical Society · 2022
    Article
  7. Article
  8. Article
  9. Chemically Fueled Self-Assembly in Biology and Chemistry.Angewandte Chemie (International ed. in English) · 2021
    Review
  10. Review
  11. Article
  12. Four-Dimensional Deoxyribonucleic Acid-Gold Nanoparticle Assemblies.Angewandte Chemie (International ed. in English) · 2020
    Article
  13. 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

2 authors.

Maria A CardonaDepartment of Chemical Sciences, University of Padova Via Marzolo 1 35131 Padova Italy leonard.prins@unipd.it.ORCID https://orcid.org/0000-0002-6320-1585
Leonard J PrinsDepartment of Chemical Sciences, University of Padova Via Marzolo 1 35131 Padova Italy leonard.prins@unipd.it.ORCID https://orcid.org/0000-0001-6664-822X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we exploit a small biomolecule - ATP - to gain temporal control over chemical reactivity in a synthetic system composed of small self-assembling molecules and reactants. The approach relies on the capacity of ATP to template the formation of amphiphile-based assemblies. The presence of the enzyme alkaline phosphatase causes a gradual decrease in the ATP-concentration in time and, consequently, a spontaneous dissociation of the assemblies. The uptake of apolar reactants in the hydrophobic domain of the assemblies leads to an enhancement of the reaction rate. It is shown that ATP-triggered self-assembly causes the selective upregulation of one out of two hydrazone-bond formation reactions that take place concurrently in the system. This leads to an inversion in the product ratio, which, however, is transient in nature because the upregulated reaction spontaneously reverts to its basal low reaction rate once the ATP has been consumed by the enzyme. Overall, the results demonstrate the potential of chemically-fuelled self-assembly under dissipative conditions to gain temporal control over reactivity in complex chemical systems.

Identifiers

PMID34084381
PMCPMC8148039

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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.