使用新的点击化学算法来设计D3R抑制剂作为血脑屏障的透剂
Alexander A Kovalenko1, Yuri B Porozov2,3, Ekaterina V Skorb1
1Infochemistry Scientific Center, ITMO University, Lomonosova Street 9, Saint Petersburg, 191002, Russian Federation.
Future medicinal chemistry
|July 19, 2023
概括
研究人员使用in silico点击化学策略确定了一种针对多巴胺受体D3 (D3R) 的新型化合物. 这种有前途的D3R结合剂显示大脑透率提高,有助于开发新的抗精神病药物.
科学领域:
- 药用化学 医学化学
- 计算化学计算化学
- 神经药理学神经药理学
背景情况:
- 多巴胺受体D3 (D3R) 是治疗神经系统疾病的关键标.
- 开发具有有效穿透血脑屏障 (BBB) 的选择性D3R配体对于治疗成功至关重要.
研究的目的:
- 用一种创新的in silico点击反应策略来识别新的D3R配体.
- 为了评估新设计的化合物的BBB透性和D3R亲和力.
主要方法:
- 使用in silico点击反应策略来产生潜在的D3R结合剂.
- 基于BBB透性的脑血比 (logBB) 的过化合物.
- 进行了分子动力学模拟,以评估配体-受体相互作用和稳定性.
主要成果:
- 确定了1-{4-[1-(十甲-1-) -1-H-1,2,3-三-5-] - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 作为主要候选物质的一种.
- 与乙基克洛普里德相比,鉴定的化合物显示出更高的D3R亲和力和BBB透性.
- 分子动力学模拟支持了化合物的结合亲和力和稳定性.
结论:
- 这项研究提出了一种用于D3R连接体设计的新型命中化合物.
- 建立了一个使用in silico点击化学选BBB透化合物的工作流.
- 提出的基于点击反应的算法显示了开发有效抗精神病药物的潜力.
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