使用碎片杂交,分子对接和分子动力学研究来设计用于癌症的新Mcl-1抑制剂
Abdulrahim A Alzain1, Fatima A Elbadwi1, Rua M Mukhtar1
1Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Gezira, Wad Madani, Sudan.
Journal of biomolecular structure & dynamics
|November 14, 2023
概括
计算方法确定了10种针对癌症治疗的新型化合物,这些化合物针对1型髓性白血病 (Mcl-1). 这些Mcl-1抑制剂显示出有前途的结合亲和力和有利的药理动力学,可能加速药物发现.
科学领域:
- 计算化学是一种计算化学.
- 药物发现 药物发现
- 分子生物学分子生物学
背景情况:
- 细胞亡对于细胞调节和癌症发展至关重要.
- 骨髓性白血病1 (Mcl-1) 蛋白质家族的过度表达驱动癌症.
- 作为抗癌药物,Mcl-1 抑制剂正在被寻求.
研究的目的:
- 使用计算技术设计新的Mcl-1抑制剂.
- 为了确定具有高结合亲和力和有利的药理动力学的候选药物.
- 为了加速识别潜在的抗癌药物.
主要方法:
- 电子药理模拟和碎片选56.7万种化合物.
- 92,384种新型化合物的分子对接 (HTVS,SP,XP).
- MM-GBSA计算,ADME预测和分子动力学模拟.
主要成果:
- 确定了10种具有优异Mcl-1结合亲和力的化合物.
- 这些化合物表现出有利的药理动力学特性.
- 前三组复合体通过分子动力学表现出稳定的相互作用.
结论:
- 设计的化合物显示出作为抗癌剂的巨大潜力.
- 基于碎片的药物设计与in silico方法相结合,加速了药物发现.
- 建议对Mcl-1亡试验进行进一步的实验验证.
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