Evidence map›Paper›PMID 35301472›Full record

ArticleNature chemistry2022

Insights from an information thermodynamics analysis of a synthetic molecular motor.

Shuntaro Amano, Massimiliano Esposito, Elisabeth Kreidt, David A Leigh, Emanuele Penocchio, Benjamin M W Roberts

Abstract read
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In one paragraph

Article in Nature chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Ratcheting synthesis.Nature reviews. Chemistry · 2024
    Review
  9. Article
  10. Sterically driven current reversal in a molecular motor model.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Information flow, gating, and energetics in dimeric molecular motors.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  17. Review
  18. Article
  19. Transamidation-Driven Molecular Pumps.Journal of the American Chemical Society · 2022
    Article
  20. 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

6 authors.

Shuntaro AmanoDepartment of Chemistry, University of Manchester, Manchester, UK.ORCID 0000-0001-6017-6823
Massimiliano EspositoDepartment of Physics and Materials Science, University of Luxembourg, Luxembourg City, Luxembourg.ORCID 0000-0002-2249-4035
Elisabeth KreidtDepartment of Chemistry, University of Manchester, Manchester, UK.ORCID 0000-0003-1229-3181
David A LeighDepartment of Chemistry, University of Manchester, Manchester, UK. david.leigh@manchester.ac.uk.ORCID 0000-0002-1202-4507
Emanuele PenocchioDepartment of Physics and Materials Science, University of Luxembourg, Luxembourg City, Luxembourg. emanuele.penocchio@uni.lu.ORCID 0000-0002-1974-1613
Benjamin M W RobertsDepartment of Chemistry, University of Manchester, Manchester, UK.ORCID 0000-0003-2820-8359

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Information is physical, a realization that has transformed the physics of measurement and communication. However, the flow between information, energy and mechanics in chemical systems remains largely unexplored. Here we analyse a minimalist autonomous chemically driven molecular motor in terms of information thermodynamics, a framework that quantitatively relates information to other thermodynamic parameters. The treatment reveals how directional motion is generated by free energy transfer from chemical to mechanical (conformational and/or co-conformational) processes by 'energy flow' and 'information flow'. It provides a thermodynamic level of understanding of molecular motors that is general, complements previous analyses based on kinetics and has practical implications for machine design. In line with kinetic analysis, we find that power strokes do not affect the directionality of chemically driven machines. However, we find that power strokes can modulate motor velocity, the efficiency of free energy transfer and the number of fuel molecules consumed per cycle. This may help explain the role of such (co-)conformational changes in biomachines and illustrates the interplay between energy and information in chemical systems.

Indexed as

KineticsEnergy TransferThermodynamics

Identifiers

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Registered trials

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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.