综合转录组学和基于结构的药物重新定位识别了具有蛋白酶体抑制特性的药物
Peter Larsson1,2, Maria Cristina De Rosa3, Benedetta Righino3
1Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. peter.larsson.3@gu.se.
Scientific reports
|August 13, 2024
概括
计算型药物基因组学确定了六种具有蛋白酶体抑制剂 (PI) 特性的新化合物. 这些化合物通过向蛋白质体活性,显示出药物重新定位和癌症治疗的潜力.
科学领域:
- 药物基因组学 药物基因组学
- 药物发现 药物发现 药物发现
- 计算生物学 计算生物学
背景情况:
- 蛋白酶体抑制剂 (PI) 在癌症治疗中至关重要.
- 识别具有类似机制的新型PI或药物对于扩大治疗选择至关重要.
研究的目的:
- 通过综合计算和体外方法识别具有蛋白质酶抑制性质的新型化合物.
- 为了验证候选化合物的抑制蛋白质体活性和诱导癌细胞反应的能力.
主要方法:
- 综合药物重新定位使用转录组学数据和基于结构的虚拟选.
- 试验室验证包括蛋白质体活性测定,无处不在的蛋白质评估,细胞活力和基因表达分析.
- 在黑色素瘤和乳腺癌细胞系中对已知蛋白酶体抑制剂 (博特佐米布,MG-132,MLN-2238) 的查.
主要成果:
- 六种化合物,包括manumycin-A和puromycin二化物,表现出蛋白酶体抑制特性.
- 候选化合物在催化位点 (β1,β2,β5) 中表现出不同程度的抑制作用.
- 曼努米辛-A,纯米辛二化物和泰格塞罗德酸盐诱导了无处不在的蛋白质的显著积累和HMOX1表达的升高,类似于博特佐米布.
结论:
- 综合计算和体外方法成功识别了具有蛋白质酶抑制潜力的新型化合物.
- 曼辛-A,普罗米辛二化物和塔格塞罗德马莱酸盐在药物重新定位中显示出有前途的特征,作为蛋白酶体抑制剂.
- 这些发现扩大了针对蛋白酶体通路的潜在治疗剂的范围.
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