Evidence map›Paper›PMID 41267831›Full record

ArticlePNAS nexus2025

Chemical signaling in reaction networks generates corresponding mechanical impulses.

Oleg E Shklyaev, Anna C Balazs

Abstract read
In one paragraph

Article in PNAS nexus, 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

2 authors.

Oleg E ShklyaevDepartment of Chemical and Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA.ORCID https://orcid.org/0000-0002-9242-9255
Anna C BalazsDepartment of Chemical and Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA.ORCID https://orcid.org/0000-0002-5555-2692

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemical reaction networks (CRNs) in the body are directed pathways that transmit reagents to reactive sites and trigger chemical processes, which ultimately instigate the appropriate physical activity. Typically, models for CRNs do not describe the coupling among chemistry, hydrodynamics and fluid-structure interactions that inherently arise in fluids. Herein, we develop a model that describes the above interrelated physicochemical behavior and show that chemical transport in a CRN spontaneously gives rise to transduction of chemistry into mechanical work, to form a complementary chemo-mechanical network (CMN). To simulate CRNs, we use the repressilator model, a reaction pathway involving biomimetic feedback loops. The encompassing material system is formed from an ordered array of enzyme-coated beads that are interlinked to form a flexible network. Coupling of chemistry and hydrodynamics occurs through the solutal buoyancy mechanism where variations in chemical concentration drive the fluid motion that deforms the flexible network of beads. Consequently, this system displays chemo-mechanical transduction as chemical signals in the CRN are converted to mechanical action. Using this model, we design materials systems encompassing CRNs that spontaneously generate CMNs, which perform the mechanical work of transporting particles or morphing the structure of the elastic network. The propagation of chemical signals along CMN that lead to mechanical actions mimic a nervous system, which transmits signals that instruct a responsive musculature.

Indexed as

biomimetic behaviorchemical reaction networkschemo-mechanical transductionsynchronization of mobile oscillatorssynthetic biology

Identifiers

PMID41267831
PMCPMC12628728

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.