分子模拟指导药物重新定制以抑制人类GPx1酶用于癌症治疗
Muhammad Waleed Iqbal1, Syed Zeeshan Haider2, Muhammad Zohaib Nawaz2
1State Key Laboratory of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing 100029, China.
这项研究将FDA批准的药物重新定位为与癌症相关的酶谷氨过氧化酶-1 (GPx1) 的向抑制剂. 使用计算方法确定了子,无人机和尼洛替尼作为强大的GPx1抑制剂.
科学领域:
- 计算化学是一种计算化学.
- 药物发现 药物发现
- 生物化学 生物化学
背景情况:
- 氨酸过氧化酶-1 (GPx1) 的过度表达与各种癌症有关.
- 现有的GPx1抑制剂缺乏特异性,导致目标外的效应.
- 需要有针对性,无毒和有效的GPx1抑制剂.
研究的目的:
- 重新利用FDA批准的药物作为强大的GPx1抑制剂.
- 确定用于癌症治疗的新型,更安全的治疗剂.
- 为了研究GPx1抑制的药物适应性和稳定性.
主要方法:
- 利用结合分子对接和动态模拟的计算管道.
- 选了1615种合成化合物的库.
- 在药物评估中使用ADMET,生物活性概率,MM-GBSA和MM-PBSA分析.
主要成果:
- 几乎选了13种化合物,其中3种被选择用于进一步分析:dronedarone,nilotinib和thonzonium.
- 分子动力学 (MD) 模拟证实了这些化合物的稳定性与GPx1.
- 确定了子,无人机和尼洛丁尼作为强大的GPx1抑制剂.
结论:
- 子,无人机和尼洛丁尼作为有效和向的GPx1抑制剂显示出希望.
- 在的方法可以成功地确定癌症治疗的潜在候选药物.
- 重新设计的药物为开发新型抗癌剂提供了可行的策略.
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