Evidence map›Paper›PMID 39959035›Full record

ArticleACS omega2025

Proton Pump Inhibitor Omeprazole Alters the Spiking Characteristics of Proteinoids.

Panagiotis Mougkogiannis, Andrew Adamatzky

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Proteinoid Computing on Olivine Substrates.Langmuir : the ACS journal of surfaces and colloids · 2026
    Article
  2. Article
  3. Myelin-Proteinoids Interactions in Neural Signaling.Langmuir : the ACS journal of surfaces and colloids · 2025
    Article
  4. Biohybrid Computing with Proteinoids and Algae.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
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.

Panagiotis MougkogiannisUnconventional Computing Laboratory, University of the West of England, Bristol BS16 1QY, U.K.ORCID https://orcid.org/0000-0003-1710-4917
Andrew AdamatzkyUnconventional Computing Laboratory, University of the West of England, Bristol BS16 1QY, U.K.ORCID https://orcid.org/0000-0003-1073-2662

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study reveals the significant effect of the proton pump inhibitor omeprazole on the spiking behavior of proteinoids, leading to a transformative shift in the field of unconventional computing. Through the application of different concentrations of omeprazole, we see a notable modification in the spiking characteristics of proteinoids, including significant alterations in amplitude, frequency, and temporal patterns. By using Boolean logic techniques, we analyze the complex dynamics of the proteinoid-omeprazole system, revealing underlying patterns and connections that question our understanding of biological computing. Our research reveals the unexplored potential of proteinoids as a foundation for unconventional computing. Moreover, our research indicates that the electrical spiking observed in proteinoids may be linked to the movement of protons. This discovery offers new insights into the fundamental mechanisms governing the spiking activity of proteinoids, presenting promising opportunities for future research in this area. Additionally, it opens up possibilities of developing new computational models that exploit the inherent nonlinearity and complexity of biological systems. By combining the effects of omeprazole-induced spikes with Boolean logic, a wide range of opportunities arise for information processing, pattern identification, and problem-solving. This pushes the limits of what can be achieved with bioelectronics.

Identifiers

PMID39959035
PMCPMC11822715

What OpenQuestion holds

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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.