Rashid Maryam, Sajjad Neha, Shafiq Nusrat, Parveen Shagufta, Chaudhry Erum, Khan Rashid Ahmed, Badhe Pravin, Al Mughram Mohammed H, Dauelbait Musaab, Bourhia Mohammed
Synthetic and Natural Product Drug Discovery Laboratory, Department of Chemistry, Government College Women University, Faisalabad, 38000, Pakistan.
Nuclear Institute for Agriculture and Biology (NIAB), Faisalabad, 38000, Pakistan.
Sci Rep. 2025 Jul 1;15(1):21760. doi: 10.1038/s41598-025-06822-z.
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.
本研究工作包括对萝藦科牛角瓜中的天然化合物进行基于其伤口愈合特性的计算分析。生成了具有统计验证的三维定量构效关系(QSAR)模型,随后确定了主要的候选化合物。通过结构参数的相关性对活性化合物进行评估。根据先前的体内和体外研究筛选出已分离的天然化合物。在三维定量构效关系分析之后,对活性化合物针对伤口愈合蛋白(PDB:6SMA、5A8Y)进行分子对接程序,并分析其结合分数以评估蛋白质 - 配体复合物的结合相互作用。还通过比较天然化合物与美国食品药品监督管理局(FDA)批准的抗生素头孢氨苄、双氯西林和左氧氟沙星的对接结果进行了比较分析。对接后,还进行了重新对接作为额外的交叉分析技术以验证对接结果。通过评估量子分子性质进行密度泛函理论(DFT)研究以揭示分子活性。因此,结果表明豆甾醇(12)是命中化合物,其结果优于标准药物头孢氨苄和左氧氟沙星。本研究中得出的这些结果为使用具有更好伤口愈合特性的天然化合物豆甾醇进行伤口愈合药物设计提供了重要信息。分析表明,所提出的命中化合物具有潜在的药物属性,这表明适合未来进行研究以帮助治疗严重伤口或损伤。