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机器学习驱动的发现结构相关的自然产品作为心脏热SERCA2a的激活剂
Carlos Cruz-Cortés1, Eli Fernández-de Gortari2,3, Rodrigo Aguayo-Ortiz4
1Center for Arrhythmia Research, Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI-48109, USA.
ChemMedChem
|January 24, 2025
概括
研究人员确定了激活心脏质网膜Ca2+-ATPase (SERCA2a) 的天然产品,这是心力衰竭治疗的关键标. 两种化合物,雅库金A和Alpinoid D,在细胞和计算模型中显示出显著的潜力.
科学领域:
- 心血管生物学 心血管生物学
- 药理学 药理学是指药理学的学科.
- 生物化学 生物化学
背景情况:
- 减少心脏肉质细胞网膜Ca2+-ATPase (SERCA2a) 活性是心力衰竭的一个关键分子缺陷.
- 重新激活SERCA2a是一种验证的治疗策略,用于改善心力衰竭模型中的心脏功能.
研究的目的:
- 通过基于机器学习的自然产品虚拟查来识别SERCA2a的新型小分子激活剂.
- 评估已识别的天然产品作为治疗心力衰竭的潜在治疗途径.
主要方法:
- 基于机器学习的57,423种自然产品的虚拟选.
- 试验室ATPase活性测定用于评估SERCA2a激活.
- 脂质双层结合和透的原子模拟.
- 在成年老鼠心脏细胞中进行细胞内Ca2+运输试验.
主要成果:
- 从结构上相关的十种天然产品来自,阿弗拉莫,阿尔皮尼亚和鱼物种被确定为SERCA2a激活剂.
- 七种化合物在低微分子度下激活了SERCA.
- 雅库金A和Alpinoid D表现出强大的度依赖激活,高效的膜透,以及心脏细胞中增强的Ca2+运输.
结论:
- 天然产品Yakuchinone A和Alpinoid D显示为开发新的SERCA2a激活剂的支架.
- 这些化合物为心力衰竭的治疗开发提供了新的途径,尽管有一些非目标效应.
- 这项研究扩大了已知效应器的范围.
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