Evidence map›Paper›PMID 41279702›Full record

ArticlebioRxiv : the preprint server for biology2025

Discrete protein dynamics enable long-range communication.

Alan J Katz, Levent Sari, Leigh J Manley, Erdal Toprak, Milo M Lin

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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.

Alan J KatzGreen Ctr. for Systems Biology, University of Texas Southwestern Medical Ctr., Dallas, TX, USA.
Levent SariGreen Ctr. for Systems Biology, University of Texas Southwestern Medical Ctr., Dallas, TX, USA.
Leigh J ManleyGreen Ctr. for Systems Biology, University of Texas Southwestern Medical Ctr., Dallas, TX, USA.
Erdal ToprakLyda Hill Dept. of Bioinformatics, University of Texas Southwestern Medical Ctr.ORCID 0000-0002-4883-7681
Milo M LinGreen Ctr. for Systems Biology, University of Texas Southwestern Medical Ctr., Dallas, TX, USA.

Funding

Mapping epistatic interactions in molecular evolution of antibiotic resistanceR01GM125748 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI Erdal Toprak · 2018 to 2026
$3.6M
NIGMS NIH HHS R01 GM125748
6 · The paper itself

Abstract

Allostery, in which perturbations at an input protein site tune the activity at a distant output site, allows proteins to serve as molecular logic gates. Often, information is transmitted without altering the structure outside of the input and output sites. This focalized allostery requires correlated motion between protein backbone dihedral angles that are separated by distances many times longer than the scale of electrostatic interactions. What physical properties of folded proteins enable such long-distance information sharing despite thermal noise is unclear. To address this question, we introduce a Variable-Well Dihedral (VWD) model Hamiltonian which removes dependence on chemical details and forces, instead only tuning the degree of nonlinearity of purely local interactions within a densely-packed polymer. We show that tuning the physical parameters of the model gives rise to focalized allostery in so far that doing so increases the discreteness of the internal degrees of freedom, with real proteins occupying the highly discrete regime. These results parallel, at the molecular scale, the superiority of digital compared to analog signal processing for telecommuncations under noisy conditions.

Identifiers

PMID41279702
PMCPMC12632360

What OpenQuestion holds

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LicenceCC BY-NC
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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.