Evidence map›Paper›PMID 38204222›Full record

ArticleCurrent computer-aided drug design2025

Prema Vediappan, Meena Arumugam, Ramalakshmi Natarajan

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Article in Current computer-aided drug design, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Protective Effects ofAntioxidants (Basel, Switzerland) · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. 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

3 authors.

Prema VediappanDepartment of Pharmaceutical Chemistry, K. K. College of Pharmacy, The Tamil Nadu Dr. MGR Medical University, Chennai, Tamil Nadu, India.
Meena ArumugamDepartment of Pharmaceutical Chemistry, K. K. College of Pharmacy, The Tamil Nadu Dr. MGR Medical University, Chennai, Tamil Nadu, India.
Ramalakshmi NatarajanDepartment of Pharmaceutical Chemistry, C. L. Baid Metha College of Pharmacy, The Tamil Nadu Dr. MGR Medical University, Chennai, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlzheimer's disease is a type of dementia that affects neuronal function, leading to a decline in cognitive functions. Serotonin-6 (5HT PDB ID: 7YS6 represents a membrane protein, and amplification and overexpression of this protein are associated with Alzheimer's disease. Coumarin-fused phenothiazines are significant anti-Alzheimer's agents due to their inhibitory activity on the Serotonin- 6 receptor.

objectivesNumerous previously unreported Coumarin-substituted Phenothiazines [A2 to A50] were designed using

methodsMolecular modeling studies of the designed ligands [A2 to A50] were conducted using the Glide module.

resultsThe majority of the designed ligands exhibited strong hydrogen bonding interactions and hydrophobic associations with the serotonin-6 receptor, which hinder its activity. These ligands achieved remarkable Glide scores within the range of -4.2859 to -7.7128, in comparison to reference standards such as Idalopirdine (-7.78149), Intepirdine (-5.20103), Latrepirdine (-5.54853), and the co-crystallized ligand (-7.02889).

conclusionThe results of this study reveal strong evidence supporting the potential of coumarin- substituted phenothiazine derivatives as effective Serotonin-6 receptor antagonists. Ligands [A2 to A50], which exhibited noteworthy Glide scores, hold promise for significant anti- Alzheimer activity. Further

Indexed as

Alzheimer DiseaseDrug DesignPhenothiazinesReceptors, SerotoninSerotonin AntagonistsComputer SimulationDrug Evaluation, PreclinicalHumansLigandsMolecular Docking SimulationMolecular Dynamics SimulationLigandsPhenothiazinesReceptors, Serotoninserotonin 6 receptorSerotonin AntagonistsAlzheimer’s diseasecoumarin-fused phenothiazines.dockingMD SimulationMM-GBSA binding free energyphenothiazine

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Registered trials

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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.