Evidence map›Paper›PMID 39241083›Full record

ArticlePloS one2024

Exploration of alpha-glucosidase inhibitors: A comprehensive in silico approach targeting a large set of triazole derivatives.

Oussama Abchir, Meriem Khedraoui, Imane Yamari, Hassan Nour, Abdelkbir Errougui, Abdelouahid Samadi, Samir Chtita

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Flavones fromRSC advances · 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

7 authors.

Oussama AbchirLaboratory of Analytical and Molecular Chemistry, Chemistry, Research, and Development, Sciences and Applications, Faculty of Sciences Ben M'Sik, Hassan II University of Casablanca, Sidi Othman, Casablanca, Morocco.
Meriem KhedraouiLaboratory of Analytical and Molecular Chemistry, Chemistry, Research, and Development, Sciences and Applications, Faculty of Sciences Ben M'Sik, Hassan II University of Casablanca, Sidi Othman, Casablanca, Morocco.
Imane YamariLaboratory of Analytical and Molecular Chemistry, Chemistry, Research, and Development, Sciences and Applications, Faculty of Sciences Ben M'Sik, Hassan II University of Casablanca, Sidi Othman, Casablanca, Morocco.
Hassan NourLaboratory of Analytical and Molecular Chemistry, Chemistry, Research, and Development, Sciences and Applications, Faculty of Sciences Ben M'Sik, Hassan II University of Casablanca, Sidi Othman, Casablanca, Morocco.
Abdelkbir ErrouguiLaboratory of Analytical and Molecular Chemistry, Chemistry, Research, and Development, Sciences and Applications, Faculty of Sciences Ben M'Sik, Hassan II University of Casablanca, Sidi Othman, Casablanca, Morocco.
Abdelouahid SamadiDepartment of Chemistry, College of Science, United Arab Emirates University, Al Ain, United Arab Emirates.ORCID 0000-0003-1766-4471
Samir ChtitaLaboratory of Analytical and Molecular Chemistry, Chemistry, Research, and Development, Sciences and Applications, Faculty of Sciences Ben M'Sik, Hassan II University of Casablanca, Sidi Othman, Casablanca, Morocco.ORCID 0000-0003-2344-5101

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe increasing prevalence of diabetes and the side effects associated with current medications necessitate the development of novel candidate drugs targeting alpha-glucosidase as a potential treatment option.

methodsThis study employed computer-aided drug design techniques to identify potential alpha-glucosidase inhibitors from the PubChem database. Molecular docking was used to evaluate 81,197 compounds, narrowing the set for further analysis and providing insights into ligand-target interactions. An ADMET study assessed the pharmacokinetic properties of these compounds, including absorption, distribution, metabolism, excretion, and toxicity. Molecular dynamics simulations validated the docking results.

results9 compounds were identified as potential candidate drugs based on their ability to form stable complexes with alpha-glucosidase and their favorable pharmacokinetic profiles, three of these compounds were subjected to the molecular dynamics, which showed stability throughout the entire 100 ns simulation.

conclusionThese findings suggest promising new alpha-glucosidase inhibitors for diabetes treatment. Further validation through in vitro and in vivo studies is recommended to confirm their efficacy and safety.

Indexed as

alpha-GlucosidasesGlycoside Hydrolase InhibitorsMolecular Docking SimulationMolecular Dynamics SimulationTriazolesComputer SimulationDrug DesignHumansalpha-GlucosidasesGlycoside Hydrolase InhibitorsTriazoles

Identifiers

PMID39241083
PMCPMC11379377

What Socratic holds

Textmetadata
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 Socratic graph.