Evidence map›Paper›PMID 38665399›Full record

ArticleCommunications physics2023

ABC transporters are billion-year-old Maxwell Demons.

Solange Flatt, Daniel Maria Busiello, Stefano Zamuner, Paolo De Los Rios

Open access · goldAbstract read
In one paragraph

Article in Communications physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
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  6. Stochastic thermodynamics for biological functions.Quantitative biology (Beijing, China) · 2025
    Review
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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

4 authors at 2 institutions in 2 countries.

Solange FlattInstitute of Physics, School of Basic Sciences, École Polytechnique Fédérale de Lausanne-EPFL, Lausanne, 1015 Switzerland.ORCID 0000-0003-3012-8905
Daniel Maria BusielloInstitute of Physics, School of Basic Sciences, École Polytechnique Fédérale de Lausanne-EPFL, Lausanne, 1015 Switzerland.ORCID 0000-0002-6754-5019
Stefano ZamunerInstitute of Physics, School of Basic Sciences, École Polytechnique Fédérale de Lausanne-EPFL, Lausanne, 1015 Switzerland.
Paolo De Los RiosInstitute of Physics, School of Basic Sciences, École Polytechnique Fédérale de Lausanne-EPFL, Lausanne, 1015 Switzerland.ORCID 0000-0002-5394-5062
École Polytechnique Fédérale de Lausanne · CHMax Planck Institute for the Physics of Complex Systems · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ATP-Binding Cassette (ABC) transporters are a broad family of biological machines, found in most prokaryotic and eukaryotic cells, performing the crucial import or export of substrates through both plasma and organellar membranes, and maintaining a steady concentration gradient driven by ATP hydrolysis. Building upon the present biophysical and biochemical characterization of ABC transporters, we propose here a model whose solution reveals that these machines are an exact molecular realization of the autonomous Maxwell Demon, a century-old abstract device that uses an energy source to drive systems away from thermodynamic equilibrium. In particular, the Maxwell Demon does not perform any direct mechanical work on the system, but simply selects which spontaneous processes to allow and which ones to forbid based on information that it collects and processes. In its autonomous version, the measurement device is embedded in the system itself. In the molecular model introduced here, the different operations that characterize Maxwell Demons (measurement, feedback, resetting) are features that emerge from the biochemical and structural properties of ABC transporters, revealing the crucial role of allostery to process information. Our framework allows us to develop an explicit bridge between the molecular-level description and the higher-level language of information theory for ABC transporters.

Indexed as

Biological physicsThermodynamics

Identifiers

PMID38665399
PMCPMC11041718
OpenAlexW4385664549

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.