In silico investigation of cannabinoids from Cannabis sativa leaves as a potential anticancer drug to inhibit MAPK-ERK signaling pathway and EMT induction.

In silico pharmacology Pub Date : 2024-05-06 eCollection Date: 2024-01-01 DOI:10.1007/s40203-024-00213-4
Shabnoor Iqbal, Motlalepula Matsabisa
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Abstract

Genes related to MAPK-ERK signaling pathways, and epithelial-mesenchymal transition induction is evolutionarily conserved and has crucial roles in the regulation of important cellular processes, including cell proliferation. In this study, six cannabinoids from Cannabis sativa were docked with MAPK-ERK signaling pathways to identify their possible binding interactions. The results showed that all the cannabinoids have good binding affinities with the target proteins. The best binding affinities were MEK- tetrahydrocannabinol (- 8.8 kcal/mol) and P13k-cannabinol (- 8.5 kcal/mol). The root mean square deviation was calculated and used two alternative variants (rmsd/ub and rmsd/lb) and the values of rmsd/lb fluctuated 8.6-2.0 Å and for rmsd/ub from 1.0 to 2.0 Å that suggests the cannabinoids and protein complex are accurate and cannot destroy on binding. The study analyzed the pharmacokinetic and drug-likeness properties of six cannabinoids from C. sativa leaves using the SwissADME web tool. Lipinski's rule of five was used to predict drug-likeness and showed that all compounds have not violated it and the total polar surface area of cannabinoids was also according to Lipinski's rule that is benchmarked of anticancer drugs. Cannabinoids are meet the requirements of leadlikeness and synthetic accessibility values showed they can be synthesized. The molecular weight, XLOGP3, solubility (log S), and flexibility (FLEX) are according to the bioavailability radar. The bioavailability score and consensus Log Po/w fall within the acceptable range for the suitable drug. Pharmacokinetics parameters showed that cannabinoids cannot cross the blood-brain barrier, have high GI absorption as well as cannabinoids are substrates of (CYP1A2, CYP2C19, CYP2C9, CYP2D6, and CYP3A4) but no substrate of P-glycoprotein. Based on these findings, the study suggests that cannabinoids are suitable drugs that could be used as effective inhibitors for target proteins involved in cancer pathways. Among the six cannabinoids, cannabinol and tetrahydrocannabinol exerted maximum binding affinities with proteins of MAPK-ERK signaling pathways, and their pharmacokinetics and drug-likeness-related profiles suggest that these cannabinoids could be superlative inhibitors in cancer treatment. Further in vitro, in vivo, and clinical studies are needed to explore their potential in cancer treatment.

Supplementary information: The online version contains supplementary material available at 10.1007/s40203-024-00213-4.

从大麻叶中提取大麻素作为潜在抗癌药物,以抑制 MAPK-ERK 信号通路和 EMT 诱导的硅学研究。
与 MAPK-ERK 信号通路相关的基因以及上皮-间充质转化诱导在进化过程中是保守的,在调控包括细胞增殖在内的重要细胞过程中起着至关重要的作用。在本研究中,六种来自大麻的大麻素与 MAPK-ERK 信号通路进行了对接,以确定其可能的结合相互作用。结果表明,所有大麻素都与目标蛋白具有良好的结合亲和力。结合亲和力最好的是 MEK-四氢大麻酚(- 8.8 千卡/摩尔)和 P13k-大麻酚(- 8.5 千卡/摩尔)。计算了均方根偏差,并使用了两个备选变量(rmsd/ub 和 rmsd/lb),rmsd/lb 的值在 8.6 至 2.0 Å 之间波动,rmsd/ub 的值在 1.0 至 2.0 Å 之间波动,这表明大麻素与蛋白质的复合物是准确的,不会在结合时发生破坏。该研究利用 SwissADME 网络工具分析了六种大麻叶中大麻素的药代动力学和药物亲和性。研究采用了利平斯基的五点法则来预测药物亲和性,结果表明所有化合物都没有违反该法则,大麻素的总极性表面积也符合利平斯基法则,该法则是抗癌药物的基准。大麻素符合铅相似性的要求,合成可及性值表明它们可以合成。分子量、XLOGP3、溶解度(log S)和柔韧性(FLEX)符合生物利用度雷达的要求。生物利用度评分和共识 Log Po/w 均在合适药物的可接受范围内。药代动力学参数显示,大麻素不能穿过血脑屏障,具有较高的胃肠道吸收率,大麻素是(CYP1A2、CYP2C19、CYP2C9、CYP2D6 和 CYP3A4)的底物,但不是 P 糖蛋白的底物。基于这些发现,研究表明大麻素是一种合适的药物,可用作癌症途径中靶蛋白的有效抑制剂。在六种大麻素中,大麻酚和四氢大麻酚与 MAPK-ERK 信号通路蛋白的结合亲和力最大,它们的药代动力学和药物相关性特征表明,这些大麻素可以成为治疗癌症的超级抑制剂。要探索它们在癌症治疗中的潜力,还需要进一步的体外、体内和临床研究:在线版本包含补充材料,可查阅 10.1007/s40203-024-00213-4。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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