Evidence map›Paper›PMID 40596160›Full record

ArticleScientific reports2025

Unveiling Calotropis procera's promising wound healing secrets by QSAR, molecular docking, DFT and ADMET profiling.

Maryam Rashid, Neha Sajjad, Nusrat Shafiq, Shagufta Parveen, Erum Chaudhry, Rashid Ahmed Khan, Pravin Badhe, Mohammed H Al Mughram, Musaab Dauelbait, Mohammed Bourhia

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

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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

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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

10 authors.

Maryam RashidSynthetic and Natural Product Drug Discovery Laboratory, Department of Chemistry, Government College Women University, Faisalabad, 38000, Pakistan.
Neha SajjadSynthetic and Natural Product Drug Discovery Laboratory, Department of Chemistry, Government College Women University, Faisalabad, 38000, Pakistan.
Nusrat ShafiqSynthetic and Natural Product Drug Discovery Laboratory, Department of Chemistry, Government College Women University, Faisalabad, 38000, Pakistan. dr.nusratshafiq@gcwuf.edu.pk.
Shagufta ParveenSynthetic and Natural Product Drug Discovery Laboratory, Department of Chemistry, Government College Women University, Faisalabad, 38000, Pakistan.
Erum ChaudhrySynthetic and Natural Product Drug Discovery Laboratory, Department of Chemistry, Government College Women University, Faisalabad, 38000, Pakistan.
Rashid Ahmed KhanNuclear Institute for Agriculture and Biology (NIAB), Faisalabad, 38000, Pakistan.
Pravin BadheSwalife Biotech Ltd Unit 3D North Point House, North Point Business Park, Cork, Ireland.
Mohammed H Al MughramDepartment of Pharmaceutical Chemistry, College of Pharmacy, King Khalid University, 61421, Abha, Saudi Arabia.
Musaab DauelbaitUniversity of Bahr el Ghazal, Freedowm Street, 91113, Wau, South Sudan. musaabelnaim@gmail.com.
Mohammed BourhiaLaboratory of Biotechnology and Natural Resources Valorization, Faculty of Sciences, Ibn Zohr University, 80060, Agadir, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research work comprises the computational analysis of natural compounds from Calotropis procera analyzed on the basis of their wound healing properties. 3D Quantitative structure activity relationship (QSAR) models were generated with statistical validation which was followed by leading compound candidates. This analytical technique was carried out for the evaluation of active compounds by correlation of structural parameters. Previously isolated natural compounds were selected on the basis of their in-vivo and in-vitro studies. After 3D-QSAR analysis, molecular docking procedure was performed on the active compounds against wound healing proteins (PDB: 6SMA, 5A8Y) and their binding scores were analyzed for the evaluation of binding interaction of Protein-Ligand complexes. Comparative analysis was also carried out by comparing the docking results of natural compounds and FDA approved antibiotics Cephalexin, Dicloxacillin, and Levofloxacin. After docking, Re-docking was also performed as an additional cross analysis technique for validation of the docking results. DFT study was carried out to reveal molecular activity by evaluation of quantum molecular properties. Hence, results revealed that Stigmasterol (12) is hit compound with better results than standard drugs Cephalexin and Levofloxacin. These derived results in this study provide significant information for wound healer drug-designing by using Stigmtasterol as natural compound having better wound healing property. The analysis suggested that the proposed hit compound exhibits the potential drug attribute, which indicates the suitability for future investigation to help treat the serious wounds or injuries.

Indexed as

CalotropisPlant ExtractsWound HealingAnti-Bacterial AgentsDensity Functional TheoryHumansMolecular Docking SimulationQuantitative Structure-Activity RelationshipAnti-Bacterial AgentsPlant ExtractsCephalexinDicloxacillinFactor-α (TNF-α)LevofloxacinStigmasterol

Identifiers

PMID40596160
PMCPMC12215513

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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.