一种混合方法,结合基于形状和对接的方法,从天然产品数据库中识别新的潜在P2X7对手
Natiele Carla da Silva Ferreira1, Lucas Gasparello Viviani2, Lauro Miranda Lima1
1Laboratory of Cellular Communication, Oswaldo Cruz Foundation, Rio de Janeiro 21040-360, Brazil.
Pharmaceuticals (Basel, Switzerland)
|May 25, 2024
概括
这项研究开发了一种新的虚拟查方法,以寻找可能阻断P2X7受体的天然化合物,这是炎症和神经退行性疾病的目标. 该方法成功地从天然产品数据库中识别出八种潜在的P2X7受体对抗剂.
科学领域:
- 药理学 药理学是指药理学的学科.
- 计算化学计算化学
- 药物发现 药物发现 药物发现
背景情况:
- P2X7受体是促炎反应的关键调解者,与各种疾病有关.
- 现有的P2X7受体对抗剂缺乏临床批准,突出显示了对新型治疗剂的需求.
- 自然产品为发现新的药物支架提供了丰富的来源.
研究的目的:
- 从天然产品数据库中开发一个改进的虚拟查方法来识别新型P2X7受体抗剂.
- 结合基于形状的选和分子对接,以提高虚拟选的准确性.
- 识别具有药物样性质和新型化学结构的潜在P2X7受体对手.
主要方法:
- 基于形状的虚拟选使用JNJ-47965567作为两个天然产品数据库 (MEGx和NATx) 的参考进行.
- 根据既定的标准,化合物被过以寻找类似药物的特性.
- 使用GOLD和DockThor的分子对接被用来评估与P2X7全位的结合亲和力.
- 对对接姿势的视觉检查确定了与P2X7结合口袋残留物的关键相互作用.
主要成果:
- 基于形状和对接的结合方法成功过了大型自然产品库.
- 八种化合物,四种来自MEGx和四种来自NATx,被选为潜在的P2X7受体对手.
- 与已知的对手相比,这些已识别的化合物具有类似药物的特性和独特的化学结构.
- 观察到与关键的P2X7全结合口袋残留物 (例如F88,Y298,I310) 预测的相互作用.
结论:
- 拟议的虚拟查方法有效地从天然产品中识别出新的P2X7受体对抗剂候选者.
- 这种方法为发现其他生物标的潜在抑制剂/对抗剂提供了有价值的策略.
- 已识别的天然化合物代表了进一步开发治疗炎症和神经退行性疾病的有希望的线索.
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