遗传证据告诉药物开发中的治疗调制的方向
Robert Chen1,2,3,4, Áine Duffy1,2,4,5, Joshua K Park1,2,3,4
1The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY USA.
NPJ drug discovery
|October 6, 2025
概括
预测药物点的作用方向 (DOE) 是至关重要的. 这项研究引入了一个使用基因嵌入和遗传数据准确预测DOE的框架,帮助药物开发和目标选择.
科学领域:
- 药理学 药理学 是一个学科.
- 遗传学 是一个遗传学.
- 生物信息学是一种生物信息学.
背景情况:
- 确定正确的作用方向 (DOE) 来调节药物点对于治疗成功至关重要.
- 预测DOE的现有方法在范围和准确性方面是有限的.
- 准确的DOE预测可以显著加速药物发现和开发.
研究的目的:
- 在基因和基因疾病层面引入一个新的计算框架来预测效应方向 (DOE).
- 评估框架在预测DOE特异性药用性,孤立DOE和基因疾病特异性DOE方面的表现.
- 将框架的预测与现有方法进行比较,并评估它们与临床试验成功的关联.
主要方法:
- 利用基因和蛋白质嵌入来预测基因层面的DOE.
- 在基因频谱中使用基因关联来预测基因疾病层面的DOE.
- 开发了一个框架来预测多个基因和基因疾病对的DOE特异性药用性,孤立的DOE和基因疾病特异性的DOE.
主要成果:
- 在预测DOE特异性药效性 (AUROC 0.95) 和孤立DOE (AURO C 0.85) 中取得了高性能.
- 在预测基因疾病特异性DOE (AUROC 0.59) 中表现适度,与遗传证据可用性相关的改善.
- 超越现有方法和确定新的治疗机会,与临床试验成功相关的预测.
结论:
- 开发的框架为预测药物发现中的效果方向 (DOE) 提供了有价值的工具.
- 该框架的预测可以指导目标选择,并提高药物开发管道的效率.
- 发现了激活剂和抑制剂标之间的遗传和功能区别,使得文本独立的DOE推断成为可能.
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