通过基于机器学习的分子对接和分子相似性搜索,发现了新的TRPV1调节器
Xinmiao Wei1, Qifan Yang1, Zhijiang Yang1
1State Key Laboratory of NBC Protection for Civilian, Beijing, China.
Chemical biology & drug design
|July 25, 2023
概括
研究人员选了化合物,以寻找短暂受体潜在化物1 (TRPV1) 通道的新调节器,这对于疼痛和疾病治疗至关重要. 确定了8种活性化合物,提供了潜在的治疗剂.
科学领域:
- 药理学 药理学是指药理学的学科.
- 分子生物学分子生物学
- 计算化学计算化学
背景情况:
- 短暂受体潜在化物1 (TRPV1) 通道涉及到许多生理过程.
- TRPV1调节剂 (激动剂和对抗剂) 对疼痛,,癌症和心血管疾病具有治疗潜力.
- 开发新的TRPV1调节器对于推进治疗方法至关重要.
研究的目的:
- 使用计算选方法识别人类TRPV1通道的新型调节器.
- 通过体外测试验证选化合物的疗效.
- 阐明已识别的活性化合物的作用机制.
主要方法:
- 使用分子对接和机器学习 (XGBoost) 的基于结构的虚拟选 (SBVS).
- 使用基于连接体的虚拟选 (LBVS) 与3D形状 (ROCS) 和静电 (EON) 相似性搜索.
- 对77种选定的化合物进行了体外测定和分子动力学模拟,用于机制研究.
主要成果:
- 从77个测试候选物中确定了8种活性化合物.
- 三种化合物显示IC50值与已知的抗剂卡普萨泽平相美.
- 一种化合物表现出部分激动性,表现出激动性和对抗性两种特性.
结论:
- 综合虚拟选方法成功识别了新型TRPV1调节器.
- 已识别的化合物,特别是具有泽类活性的化合物,需要进一步研究治疗应用.
- 分子动力学模拟为TRPV1调制的结合模式和机制提供了洞察力.
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