Evidence map›Paper›PMID 40525419›Full record

ArticleMedicinal chemistry (Shariqah (United Arab Emirates))2025

Exploring

Hassan Nour, Imane Yamari, Oussama Abchir, Nouh Mounadi, Abdelouahid Samadi, Salah Belaidi, Samir Chtita

Abstract read
PubMed Publisher
In one paragraph

Article in Medicinal chemistry (Shariqah (United Arab Emirates)), 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
  2. Integrated Computational Investigation ofPharmaceuticals (Basel, Switzerland) · 2026
    Article
  3. Article
  4. 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.

Hassan NourLaboratory of Analytical and Molecular Chemistry, Faculty of Sciences Ben M'Sik, Hassan II University of Casablanca, Morocco.
Imane YamariLaboratory of Analytical and Molecular Chemistry, Faculty of Sciences Ben M'Sik, Hassan II University of Casablanca, Morocco.
Oussama AbchirLaboratory of Analytical and Molecular Chemistry, Faculty of Sciences Ben M'Sik, Hassan II University of Casablanca, Morocco.
Nouh MounadiLaboratory of Analytical and Molecular Chemistry, Faculty of Sciences Ben M'Sik, Hassan II University of Casablanca, Morocco.
Abdelouahid SamadiDepartment of Chemistry, College of Science, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates.
Salah BelaidiGroup of Computational and Medicinal Chemistry, LMCE Laboratory, University of Biskra, BP 145, Biskra 707000, Algeria.
Samir ChtitaLaboratory of Analytical and Molecular Chemistry, Faculty of Sciences Ben M'Sik, Hassan II University of Casablanca, Morocco.

Funding

United Arab Emirates University and Zayed Center for Health Sciences G00003680
6 · The paper itself

Abstract

introductionCholinesterase enzymes play a pivotal role in hydrolyzing acetylcholine, a neurotransmitter crucial for memory and cognition, into its components, acetic acid, and choline. A primary approach in addressing Alzheimer's disease symptoms is by inhibiting the action of these enzymes.

methodsWith this context, our study embarked on a mission to pinpoint potential Cholinesterase (ChE) inhibitors using a comprehensive computational methodology. A total of 49 phytoconstituents derived from

resultsThey were predicted to exhibit greater binding affinities than Rivastigmine and Galantamine. Their ADMET assessments further classified them as viable oral pharmaceutical drugs. They are not expected to induce any mutagenic or hepatotoxic effects and cannot produce skin sensitization. In addition, these phytoconstituents are predicted to be BBB permeable and can reach the central nervous system (CNS) and exert their therapeutic effects. To delve deeper, we explored molecular dynamics (MD) simulations to examine the stability of the complex formed between the best candidate (Δ-9-tetrahydrocannabinol) and the target proteins under simulated biological conditions. The MD study affirmed that the ligand-ChE recognition is a spontaneous reaction leading to stable complexes.

conclusionOur research outcomes provide valuable insights, offering a clear direction for the pharmaceutical sector in the pursuit of effective anti-Alzheimer treatments.

Indexed as

Alzheimer DiseaseCannabisCholinesterase InhibitorsMolecular Docking SimulationMolecular Dynamics SimulationAcetylcholinesteraseButyrylcholinesteraseHumansStructure-Activity RelationshipAcetylcholinesteraseButyrylcholinesteraseCholinesterase InhibitorsADMET.Alzheimer’s diseaseCannabis sativa Lcholinesterase inhibitorsmolecular dockingmolecular dynamics

Identifiers

What OpenQuestion holds

Textmetadata
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.