Evidence map›Paper›PMID 39926230›Full record

ArticleRSC advances2025

Discovery of novel acetylcholinesterase inhibitors through AI-powered structure prediction and high-performance computing-enhanced virtual screening.

Beatriz Chafer-Dolz, José M Cecilia, Baldomero Imbernón, Estrella Núñez-Delicado, Victor Casaña-Giner, José P Cerón-Carrasco

Abstract read
In one paragraph

Article in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Review
  6. 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

6 authors.

Beatriz Chafer-DolzBio Logic Crop Science S.L. Amadeo de Saboya 1-4 Valencia 46010 Spain bchafer@biologiccropscience.com.ORCID https://orcid.org/0009-0001-5801-8604
José M CeciliaUniversitat Politécnica de Valencia (UPV) Camino de Vera S/N Valencia 46022 Spain jmcecilia@disca.upv.es.
Baldomero ImbernónUniversidad Católica de Murcia (UCAM) Campus de los Jerónimos Murcia 30107 Spain.
Estrella Núñez-DelicadoUniversidad Católica de Murcia (UCAM) Campus de los Jerónimos Murcia 30107 Spain.
Victor Casaña-GinerBio Logic Crop Science S.L. Amadeo de Saboya 1-4 Valencia 46010 Spain bchafer@biologiccropscience.com.ORCID https://orcid.org/0000-0002-8252-2608
José P Cerón-CarrascoCentro Universitario de la Defensa, Academia General del Aire, Universidad Politécnica de Cartagena C/Coronel López Peña s/n 30729, Santiago de la Ribera Murcia Spain jose.ceron@cud.upct.es.ORCID https://orcid.org/0000-0003-0668-9227

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virtual screening (VS) methodologies have become key in the drug discovery process but are also applicable to other fields including catalysis, material design, and, more recently, insecticide solutions. Indeed, the search for effective pest control agents is a critical industrial objective, driven by the need to meet stringent regulations and address public health concerns. Cockroaches, known vectors of numerous diseases, represent a major challenge due to the toxicity of existing control measures to humans. In this article, we leverage an Artificial Intelligence (AI)-based screening of the Drug Bank (DB) database to identify novel acetylcholinesterase (AChE) inhibitors, a previously uncharacterized target in the American cockroach (

Identifiers

PMID39926230
PMCPMC11804414

What OpenQuestion holds

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LicenceCC BY-NC
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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.