Muthukrishnan Sathish, Sekar Suriya, Raman Chamundeeswari, Pandiyan Jeevan, Ponnaiah Jansirani
Department of Microbiology, JJ College of Arts and Science (Autonomous), (Affiliated to Bharathidasan University, Tiruchirappalli, Pudukkottai, Tamil Nadu 622 422 India.
Department of Botany, The Madura College (Autonomous), Madurai Kamarajar University, Madurai, Tamil Nadu India.
In Silico Pharmacol. 2024 Jun 8;12(1):53. doi: 10.1007/s40203-024-00227-y. eCollection 2024.
Plants provide compounds that can be used to treat diseases, and methods help to expedite drug discovery while reducing costs. This study explored the phytochemical profile of methanol extract of using GC-MS to identify potential bioactive compounds. Autodock 4.2.6. was employed for molecular docking evaluation of the efficacy of these identified compounds against Estrogen Receptor Alpha (ERα), Human Epidermal Growth Factor Receptor 2 (HER2), and Epidermal Growth Factor Receptor (EGFR), proteins. Additionally, the ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) properties of the compounds were predicted using the SwissADME online tool. The preliminary phytochemical analysis revealed the presence of alkaloids, carbohydrates, glycosides, and steroids. During the GC-MS analysis, seven compounds were identified, and drug-likeness prediction of these compounds showed good pharmacokinetic properties having high gastrointestinal absorption, and orally bioavailable. The molecular docking studies exhibited promising binding affinities of bioactive compounds against all target proteins. Specifically, the compounds Tricyclo[5.2.1.0(2,6)]decan-10-ol and 2,2,6-Trichloro-7-oxabicyclo[4.1.0]heptane-1-carboxamide demonstrated the highest binding affinities with the ERα (-6.3 and - 6.0 k/cal), HER2 (-5.6 and - 6.1 k/cal), and EGFR (-5.4 and - 5.4 k/cal), respectively. These findings suggest the potential of as a source for developing new cancer therapeutics. The study highlights the effectiveness of approaches for accelerating drug discovery from natural sources and paves the way for further exploration of these promising compounds.
The online version contains supplementary material available at 10.1007/s40203-024-00227-y.
植物提供可用于治疗疾病的化合物,且方法有助于加快药物发现并降低成本。本研究利用气相色谱 - 质谱联用(GC - MS)探索了[植物名称未给出]甲醇提取物的植物化学特征,以鉴定潜在的生物活性化合物。使用Autodock 4.2.6对这些鉴定出的化合物针对雌激素受体α(ERα)、人表皮生长因子受体2(HER2)和表皮生长因子受体(EGFR)蛋白的功效进行分子对接评估。此外,使用SwissADME在线工具预测这些化合物的ADMET(吸收、分布、代谢、排泄和毒性)特性。初步植物化学分析显示存在生物碱、碳水化合物、糖苷和类固醇。在GC - MS分析中,鉴定出七种化合物,这些化合物的类药性质预测显示具有良好的药代动力学性质,具有高胃肠道吸收和口服生物利用度。分子对接研究表明生物活性化合物对所有靶蛋白具有有前景的结合亲和力。具体而言,化合物三环[5.2.1.0(2,6)]癸 - 10 - 醇和2,2,6 - 三氯 - 7 - 氧杂双环[4.1.0]庚烷 - 1 - 甲酰胺分别与ERα(-6.3和 - 6.0 k/cal)、HER2(-5.6和 - 6.1 k/cal)和EGFR(-5.4和 - 5.4 k/cal)表现出最高的结合亲和力。这些发现表明[植物名称未给出]作为开发新癌症治疗药物来源的潜力。该研究突出了[植物名称未给出]方法在加速从天然来源发现药物方面的有效性,并为进一步探索这些有前景的化合物铺平了道路。
在线版本包含可在10.1007/s40203 - 024 - 00227 - y获取的补充材料。