Evidence map›Paper›PMID 31249381›Full record

ArticleNature communications2019

Intrinsic enzymatic properties modulate the self-propulsion of micromotors.

Xavier Arqué, Adrian Romero-Rivera, Ferran Feixas, Tania Patiño, Sílvia Osuna, Samuel Sánchez

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
18.4field-weighted citation impact, top 1% 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

51 citing papers in PubMed, 173 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. SERS-Based Nano- and Microsystems Toward Biomedical Applications.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Review
  5. Endogenous ATP-powered nanomotors directing neural stem cell differentiation for Parkinson's disease treatment.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Programmable Nanoscale Motion via Molecular Patterning on DNA Origami.Angewandte Chemie (International ed. in English) · 2026
    Article
  7. Article
  8. Micro/Nanorobots for Combating Brain Disorders: Challenges, Advances, and Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  9. A roadmap for next-generation nanomotors.Nature nanotechnology · 2025
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Swarms of Enzymatic Nanobots for Efficient Gene Delivery.ACS applied materials & interfaces · 2024
    Article
  19. Article
  20. 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

6 authors at 3 institutions in 1 country.

Xavier ArquéInstitute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 10-12, 08028, Barcelona, Spain.
Adrian Romero-RiveraCompBioLab Group, Institut de Química Computacional i Catàlisi (IQCC) and Departament de Química, Universitat de Girona, Carrer Maria Aurèlia Capmany 69, 17003, Girona, Spain.
Ferran FeixasCompBioLab Group, Institut de Química Computacional i Catàlisi (IQCC) and Departament de Química, Universitat de Girona, Carrer Maria Aurèlia Capmany 69, 17003, Girona, Spain.
Tania PatiñoInstitute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 10-12, 08028, Barcelona, Spain. tpatino@ibecbarcelona.eu.
Sílvia OsunaCompBioLab Group, Institut de Química Computacional i Catàlisi (IQCC) and Departament de Química, Universitat de Girona, Carrer Maria Aurèlia Capmany 69, 17003, Girona, Spain. silvia.osuna@udg.edu.
Samuel SánchezInstitute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 10-12, 08028, Barcelona, Spain. ssanchez@ibecbarcelona.eu.ORCID http://orcid.org/0000-0001-9713-9997
Institució Catalana de Recerca i Estudis Avançats · ESInstitute for Bioengineering of Catalonia · ESUniversitat de Girona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bio-catalytic micro- and nanomotors self-propel by the enzymatic conversion of substrates into products. Despite the advances in the field, the fundamental aspects underlying enzyme-powered self-propulsion have rarely been studied. In this work, we select four enzymes (urease, acetylcholinesterase, glucose oxidase, and aldolase) to be attached on silica microcapsules and study how their turnover number and conformational dynamics affect the self-propulsion, combining both an experimental and molecular dynamics simulations approach. Urease and acetylcholinesterase, the enzymes with higher catalytic rates, are the only enzymes capable of producing active motion. Molecular dynamics simulations reveal that urease and acetylcholinesterase display the highest degree of flexibility near the active site, which could play a role on the catalytic process. We experimentally assess this hypothesis for urease micromotors through competitive inhibition (acetohydroxamic acid) and increasing enzyme rigidity (β-mercaptoethanol). We conclude that the conformational changes are a precondition of urease catalysis, which is essential to generate self-propulsion.

Indexed as

AcetylcholinesteraseAnimalsAspergillus nigerBiocatalysisCanavaliaElectrophorusEnzymes, ImmobilizedFish ProteinsFructose-Bisphosphate AldolaseFungal ProteinsGlucose OxidaseKineticsNanostructuresPlant ProteinsProtein ConformationRabbitsAcetylcholinesteraseEnzymes, ImmobilizedFish ProteinsFructose-Bisphosphate AldolaseFungal ProteinsGlucose OxidasePlant ProteinsSilicon DioxideUrease

Identifiers

PMID31249381
PMCPMC6597730
OpenAlexW2956107584

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.