Evidence map›Paper›PMID 40255640›Full record

ArticleFrontiers in chemistry2025

Virtual screening and molecular dynamics of anti-Alzheimer compounds from

Selvan Kaviyarasu, Nallamuthu Padmanaban, Sulekha Khute, Gokhan Zengin, Paranthaman Subash

Abstract read
In one paragraph

Article in Frontiers in chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

5 authors.

Selvan KaviyarasuDepartment of Pharmacognosy, Sri Shanmugha College of Pharmacy, Sankari, Tamil Nadu, India.
Nallamuthu PadmanabanDepartment of Pharmacognosy, Sri Shanmugha College of Pharmacy, Sankari, Tamil Nadu, India.
Sulekha KhuteDepartment of Pharmacognosy, Sri Shanmugha College of Pharmacy, Sankari, Tamil Nadu, India.
Gokhan ZenginDepartment of Biology, Science Faculty, Selcuk University, Konya, Türkiye.
Paranthaman SubashDepartment of Pharmacognosy, Sri Shanmugha College of Pharmacy, Sankari, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ayurveda is an ancient Indian medicinal system that uses medicinal plants for their neuroprotective effects. Ayurveda claims that the ( Objectives: This study aimed to identify novel potential anti-Alzheimer phytoconstituents of Methods: This study utilized the Box-Behnken design within the response surface methodology (RSM) to optimize and combine the effects of process variables, namely powder weight, solvent volume, and extraction time, on the microwave-assisted extraction (MAE) Results: Gas chromatography-mass spectrometry (GC-MS) analysis identified 40 phytoconstituents and 37 were successfully characterized. Molecular docking and dynamics simulations revealed two lead compounds, acetic acid (dodecahydro-7-hydroxy-1,4b,8,8-tetramethyl-10-oxo-2(1H)-phenanthrenylidene)-,2-(dimethylamino)ethyl ester, [1R-(1. alpha)], and 1-(2-hydroxyethoxy)-2-methyldodecane, which exhibited superior stability in the docked complex compared to galantamine. Conclusion: Based on computational predictions and observed pharmacological properties, these findings suggest that phytoconstituents may have therapeutic effects against selected AD targets.

Indexed as

Alzheimer’s diseaseCardiospermum halicacabumGC-MSHOMO-LUMOmolecular dynamicsphytoconstituents

Identifiers

PMID40255640
PMCPMC12006154

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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.