综合虚拟和实验性选天然产品作为潜在的抗癌药物对抗乳腺癌
Morad Mustafa1, Mohammad Alwahsh1, Lama Hamadneh2
1Department of Pharmacy, College of Pharmacy, Al-Zaytoonah University of Jordan, P.O. Box: 130, Amman 11733, Jordan.
Bioorganic chemistry
|October 30, 2025
概括
研究人员通过结合计算和实验室查方法确定了乳腺癌治疗的有希望的天然化合物. 这种方法有效地预测了抗癌活性,突出了进一步研究的新疗法.
科学领域:
- 在瘤学瘤学.
- 药理学 药理学是指药理学的学科.
- 计算化学计算化学
背景情况:
- 乳腺癌是女性死亡的主要原因,需要新的治疗方法.
- 从天然产品中识别新型抗癌剂是关键的研究领域.
研究的目的:
- 开发和验证一个集成的in silico-in vitro管道,以发现具有乳腺癌活性的天然产品.
- 为了确定针对关键乳腺癌蛋白质的特定天然化合物.
主要方法:
- 使用分子对接对抗五种乳腺癌标 (突变PIK3CA-E545K,ESR1,突变ERBB4-Y1242C,EGFR,ERBB2) 的187,119种自然化合物的虚拟查.
- 根据结合亲和力和商业可用性选择前15种化合物.
- 在乳腺癌细胞系 (MCF-7,MDA-MB-468,SK-BR-3) 和正常纤维细胞系 (CCD-1064Sk) 中对选定化合物的体外细胞毒性评估.
主要成果:
- 一些化合物 (例如C3-C7,C10) 显示出强大的结合亲和力 (≤ -8.6 kcal/mol) 和有利的选择性指数 (≥ 2.0).
- 在对接分数和细胞毒性之间观察到强烈的相关性,验证了虚拟查方法.
- 结构-活性关系分析表明平面性和疏水替代剂对于抗癌活性至关重要.
结论:
- 集成的in silico-in vitro查管道有效地识别了天然产品导致乳腺癌的原因.
- 有希望的天然化合物已被确定用于进一步的临床前开发.
- 这种方法加快了新型乳腺癌治疗方法的发现.
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