Evidence map›Paper›PMID 39301943›Full record

ArticleChemphyschem : a European journal of chemical physics and physical chemistry2025

Evaluating Quinolines: Molecular Dynamics Approach to Assess Their Potential as Acetylcholinesterase Inhibitors for Alzheimer's Disease.

Mario Prejanò, Isabella Romeo, Luis Felipe Hernández-Ayala, Eduardo Gabriel Guzmán-López, Stefano Alcaro, Annia Galano, Tiziana Marino

Abstract read
In one paragraph

Article in Chemphyschem : a European journal of chemical physics and physical chemistry, 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. Article
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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

7 authors.

Mario PrejanòDipartimento di Chimica e Tecnologie Chimiche, Università della Calabria, 87036, Arcavacata di Rende, Italy.
Isabella RomeoDipartimento di Scienze della Salute and Net4Science Academic Spin-Off, Università degli Studi"Magna Græcia" di Catanzaro, 88100, Catanzaro, Italy.
Luis Felipe Hernández-AyalaDepartamento de Química, Universidad Autónoma Metropolitana-Iztapalapa, Av. Ferrocarril San Rafael Atlixco 186, Col. Leyes de Reforma 1 A Sección, Alcaldía Iztapalapa, Mexico City, 09310, Mexico.
Eduardo Gabriel Guzmán-LópezDepartamento de Química, Universidad Autónoma Metropolitana-Iztapalapa, Av. Ferrocarril San Rafael Atlixco 186, Col. Leyes de Reforma 1 A Sección, Alcaldía Iztapalapa, Mexico City, 09310, Mexico.
Stefano AlcaroDipartimento di Scienze della Salute and Net4Science Academic Spin-Off, Università degli Studi"Magna Græcia" di Catanzaro, 88100, Catanzaro, Italy.
Annia GalanoDepartamento de Química, Universidad Autónoma Metropolitana-Iztapalapa, Av. Ferrocarril San Rafael Atlixco 186, Col. Leyes de Reforma 1 A Sección, Alcaldía Iztapalapa, Mexico City, 09310, Mexico.
Tiziana MarinoDipartimento di Chimica e Tecnologie Chimiche, Università della Calabria, 87036, Arcavacata di Rende, Italy.ORCID 0000-0003-2386-9078

Funding

Ciencia Básica y de Frontera CBF2023-2024-1141CONACyTDipartimento di Chimica e Tecnologie ChimicheEstancias Posdoctorales por MéxicoUniversità della Calabria
6 · The paper itself

Abstract

Quinoline represents a promising scaffold for developing potential drugs because of the wide range of biological and pharmacological activities that it exhibits. In the present study, quinoline derivatives obtained from CADMA-Chem docking protocol were investigated in the mean of molecular dynamics simulations as potential inhibitors of acetylcholinesterase enzyme. The examined species can be partitioned between neutral, dq815 (2,3 dihydroxyl-quinoline-4-carbaldehyde), dq829 (2,3 dihydroxyl-quinoline-8-carboxylic acid methane ester), dq1356 (3,4 dihydroxyl-quinoline-6-carbaldehyde), dq1368 (3,4 dihydroxyl-quinoline-8-carboxylic acid methane ester) and dq2357 (5,6 dihydroxyl-quinoline-8-carboxylic acid methane ester), and deprotonated, dq815_dep, dq829_dep, dq1356_dep and dq2357_dep. Twelve molecular dynamics simulations were performed including those of natural acetylcholine, of the well-known donepezil inhibitor and of the founder quinoline chosen as reference. Key intermolecular interactions were detected and discussed to describe the different dynamic behavior of all the considered species. Binding energies calculation from MMPBSA well accounts for the dynamic behavior observed in the simulation time proposing dq1368 as promising candidate for the inhibition of acetylcholinesterase. Retrosynthetic route for the production of the investigated compounds is also proposed.

Indexed as

AcetylcholinesteraseAlzheimer DiseaseCholinesterase InhibitorsMolecular Dynamics SimulationQuinolinesHumansMolecular Docking SimulationAcetylcholinesteraseCholinesterase InhibitorsQuinolinesacetylcholinesterase inhibitorsAlzheimer's DiseaseCADMA-ChemMD simulationquinolones

Identifiers

PMID39301943
PMCPMC11747580

What OpenQuestion holds

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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.