结合分子对接和药剂型模型,可以预测内分泌破坏性化学物质与核受体的连接
Asma Sellami1, Matthieu Montes1,2, Nathalie Lagarde1
1Laboratoire GBCM, EA 7528, Conservatoire National des Arts et Métiers, 2 rue Conté, Paris 75003, France.
Chemical research in toxicology
|April 3, 2025
概括
识别内分泌干扰化学物质至关重要. 这项研究结合了分子对接和药模型,以有效选与六个关键核受体结合的化合物,帮助毒理学评估.
科学领域:
- 环境化学环境化学
- 毒理学 毒理学 毒理学
- 计算化学是一种计算化学.
背景情况:
- 核受体结合各种小分子,包括内分泌干扰化学物质 (EDC).
- 快速识别EDC对于公共卫生和环境安全至关重要.
- 为了有效的EDC选,现有的方法需要改进.
研究的目的:
- 评估组合分子对接和药模型的有效性,以识别核受体连接体.
- 开发和优化用于毒理学评估的化合物的优先级的in silico协议.
- 评估对六种特定的核受体的联体结合:雄激素受体 (AR),雌激素受体α (ERα),雌激素受体β (ERβ),葡萄糖皮质受体 (GR),过氧体增殖器激活受体gamma (PPARγ) 和甲状腺激素受体α (TRα).
主要方法:
- 使用了来自EPA的CompTox仪表板的数据.
- 采用了分子对接和药模拟技术的组合.
- 为六个目标核受体中的每一个开发和优化了特定的in silico协议.
主要成果:
- 综合计算方法在识别研究核受体的潜在配体方面表现出有效性.
- 建立了优化的in silico协议,以根据它们预测的结合亲和力来优先考虑化合物.
- 该方法提供了一个选大型化学图书馆的框架.
结论:
- 组合的分子对接和药模型为快速识别核受体连接体提供了强大的策略.
- 这种in silico方法,加上实验验证,可以显著加快检测潜在的毒理问题.
- 开发的协议可以帮助监管机构评估环境化学品的安全性.
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