Evidence map›Paper›PMID 41500971›Full record

ArticleJournal of the American Chemical Society2026

Framework for Quantifying the Efficiency of Competing Signal Transmission Modes in Proteins.

Anil Kumar Sahoo, Hossein Batebi, Richard Schwarzl, Markus S Miettinen, Roland R Netz

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

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

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

5 authors.

Anil Kumar SahooFachbereich Physik, Freie Universität Berlin, Arnimallee 14, Berlin 14195, Germany.ORCID 0000-0001-7769-4774
Hossein BatebiFachbereich Physik, Freie Universität Berlin, Arnimallee 14, Berlin 14195, Germany.
Richard SchwarzlFachbereich Physik, Freie Universität Berlin, Arnimallee 14, Berlin 14195, Germany.ORCID 0000-0003-0894-8552
Markus S MiettinenFachbereich Physik, Freie Universität Berlin, Arnimallee 14, Berlin 14195, Germany.
Roland R NetzFachbereich Physik, Freie Universität Berlin, Arnimallee 14, Berlin 14195, Germany.ORCID 0000-0003-0147-0162

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

On the microscopic level, biological signal transmission relies on coordinated transient structural changes in allosteric proteins that involve sensor and effector modules. The time scales and microscopic details of signal transmission in proteins are often unclear, despite a plethora of structural information on signaling proteins. Based on linear-response theory, we develop the theoretical framework to define frequency-dependent force and displacement transmit functions through proteins and, more generally, viscoelastic media. Transmit functions quantify the fraction of a local time-dependent perturbation at one site, be it a deformation, a force or a combination thereof, that survives at a distant site. They are defined in terms of equilibrium fluctuations from simulations or experimental observations. We apply the framework to our all-atom molecular dynamics simulations of a bacterial histidine kinase protein extensively studied in experiments. For the isolated coiled-coil (CC) motif that connects sensor and effector modules, our analysis reveals that signal propagation through the CC is possible via shift, splay, and twist deformation modes, which is confirmed by simulations of the entire protein. Based on mutation experiments, we infer that the most relevant mode for the biological function of the histidine kinase is the splay deformation. For the β

Indexed as

Bacterial ProteinsHistidine KinaseMolecular Dynamics SimulationSignal TransductionBacterial ProteinsHistidine Kinase

Identifiers

PMID41500971
PMCPMC12833803

What OpenQuestion holds

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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.