Manoharan Maya Ammathil, Umapathy Senthilkumar, Malgija Beutline
DNA Barcoding Laboratory, Department of Botany, Madras Christian College, Chennai, 600059 India.
Center for Computational Informatics Research and Innovation, MCC-MRF Innovation Park, Madras Christian College, Chennai, 600059 India.
3 Biotech. 2025 Jun;15(6):185. doi: 10.1007/s13205-025-04315-4. Epub 2025 May 24.
Selective estrogen receptor modulators (SERMs) play a vital role in ER + ve breast cancer therapy, but existing synthetic drugs have limitations. This study explores as a potential natural source for SERM using molecular docking, ADMET profiling, molecular dynamics (MD) simulations, and MM-GBSA analysis, using the Schrödinger Suite. Nine metabolites reported from the species were subjected to analysis, and all except one exhibited superior activity compared to the control. Among these, pumiloside (- 13.06 kcal/mol), strictosidine (- 11.808 kcal/mol), deoxypumiloside (- 11.686 kcal/mol), and strictosamide (- 11.479 kcal/mol) demonstrated stronger ERα binding affinities than control drugs tamoxifen and raloxifene. The receptor-ligand complexes of pumiloside and strictosidine exhibited reasonable interactions, with strictosidine showing the highest glide energy (- 52.418 kcal/mol). MD simulations and MM-GBSA analysis further confirmed the stability of these complexes under physiological conditions, with both compounds showing superior free binding energy compared to tamoxifen. Deoxypumiloside also emerged as a promising candidate with no Lipinski rule of five violations and high oral absorption, but required solubility enhancements. Additionally, 10-hydroxy camptothecin, protonated strictosidine, camptothecin, 9-methoxy camptothecin, 20-deoxy camptothecin, and 20-hexanoyl-10-methoxy camptothecin are other metabolites that exhibited good docking scores and favorable drug-like properties. These findings highlight as a promising SERM source, with strictosidine and pumiloside as lead candidates due to their superior receptor interactions, stability, and energetics. Further in vitro and in vivo studies are required to validate their therapeutic potential in breast cancer treatment.
The online version contains supplementary material available at 10.1007/s13205-025-04315-4.
选择性雌激素受体调节剂(SERM)在雌激素受体阳性(ER+ve)乳腺癌治疗中起着至关重要的作用,但现有的合成药物存在局限性。本研究使用薛定谔软件包,通过分子对接、ADMET分析、分子动力学(MD)模拟和MM-GBSA分析,探索[具体物种]作为SERM潜在天然来源的可能性。对该物种报道的九种代谢产物进行了分析,除一种外,所有代谢产物均表现出优于对照的活性。其中, pumiloside(-13.06 kcal/mol)、strictosidine(-11.808 kcal/mol)、deoxypumiloside(-11.686 kcal/mol)和strictosamide(-11.479 kcal/mol)显示出比对照药物他莫昔芬和雷洛昔芬更强的ERα结合亲和力。pumiloside和strictosidine的受体-配体复合物表现出合理的相互作用,strictosidine显示出最高的滑行能量(-52.418 kcal/mol)。MD模拟和MM-GBSA分析进一步证实了这些复合物在生理条件下的稳定性,两种化合物均显示出比他莫昔芬更高的自由结合能。Deoxypumiloside也成为一个有前景的候选物,它没有违反Lipinski五规则且口服吸收高,但需要提高溶解度。此外,10-羟基喜树碱、质子化strictosidine、喜树碱、9-甲氧基喜树碱、20-脱氧喜树碱和20-己酰基-10-甲氧基喜树碱是其他表现出良好对接分数和有利类药性质的代谢产物。这些发现突出了[具体物种]作为一个有前景的SERM来源,由于strictosidine和pumiloside具有优异的受体相互作用、稳定性和能量学性质,它们是主要候选物。需要进一步的体外和体内研究来验证它们在乳腺癌治疗中的治疗潜力。
在线版本包含可在10.1007/s13205-025-04315-4获取的补充材料。