Evidence map›Paper›PMID 41090620›Full record

ArticleThe journal of physical chemistry. B2025

Solvent-Driven Modulation of Shuttling Dynamics in an Autonomous Chemically Fueled Information Ratchet.

Giuseppe Silvestri, Mattia P Fossati, Federica Arrigoni, Luca Bertini, Giuseppe Zampella, Luca De Gioia, Jacopo Vertemara

Abstract read
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Article in The journal of physical chemistry. B, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Giuseppe SilvestriDepartment of Biotechnology and Biosciences BtBs, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, Milan 20126, Italy.ORCID 0000-0002-7180-9734
Mattia P FossatiDepartment of Biotechnology and Biosciences BtBs, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, Milan 20126, Italy.ORCID 0009-0008-1580-7815
Federica ArrigoniDepartment of Biotechnology and Biosciences BtBs, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, Milan 20126, Italy.ORCID 0000-0003-0691-7517
Luca BertiniDepartment of Biotechnology and Biosciences BtBs, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, Milan 20126, Italy.ORCID 0000-0003-3402-0846
Giuseppe ZampellaDepartment of Biotechnology and Biosciences BtBs, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, Milan 20126, Italy.ORCID 0000-0003-0517-6016
Luca De GioiaDepartment of Biotechnology and Biosciences BtBs, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, Milan 20126, Italy.
Jacopo VertemaraDepartment of Biotechnology and Biosciences BtBs, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, Milan 20126, Italy.ORCID 0000-0002-3352-1000

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The performance of artificial molecular machines relies on the interplay between molecular design and environmental factors, yet how solvation shapes their energy landscapes and kinetics remains poorly understood. Here, we combine well-tempered and infrequent metadynamics to investigate equilibrium shuttling in a minimal [2]rotaxane inspired by Borsley's fuel-driven molecular motor. By systematically varying solvent polarity and hydrogen-bonding capacity, we uncover distinct thermodynamic and kinetic regimes that govern macrocycle motion. In highly polar, hydrogen-bond-accepting media, the macrocycle adopts a symmetric distribution between binding sites, with enthalpic and entropic forces in direct competition. Conversely, in low-polarity, hydrogen-bond-donating environments, the axle undergoes a conformational collapse that entropically biases occupancy toward a single station in the absence of chemical fuel. Despite comparable free-energy barriers across conditions (9-13 kcal/mol), the transition pathways exhibit pronounced solvent-dependent asymmetries and energetic ruggedness. These findings provide a molecular-level framework for understanding how solvation dictates passive ratchet behavior and offer strategic insights for designing high-performance molecular machines tailored to complex media.

Identifiers

PMID41090620
PMCPMC12581131

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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.