预测影响基因表达的上游调节器 (PURE) 的新方法
Tuan-Minh Nguyen1, Douglas B Craig1,2, Duc Tran3
1Department of Computer Science, Wayne State University, Detroit, 48202, USA.
Scientific reports
|October 31, 2023
概括
确定与疾病相关的基因表达变化的原因至关重要. 预测上游调节剂 (PURE) 方法准确地识别因果化学物质,药物或有毒物质 (CDT) 和潜在的药物重定向候选者.
科学领域:
- 基因组学就是基因组学.
- 毒理学 毒理学 毒理学
- 药理学 药理学是指药理学的学科.
背景情况:
- 外部因素,如化学物质,药物或有毒物质 (CDT) 暴露可能导致疾病.
- 从基因表达变化中识别因果性CDT对于研究和药物发现至关重要.
- 推断逆转疾病诱导基因表达的CDT是药物重定向的关键.
研究的目的:
- 引入预测上游调节器 (PURE) 方法来识别因果CDT.
- 评估PURE从基因表达数据中推断CDT的能力.
- 评估PURE在识别用于逆转疾病表型的药物的有用性.
主要方法:
- PURE是为了从基因表达特征推断因果CDT而开发的.
- 该方法与四种经典方法和发明路径分析 (IPA) 进行了比较.
- 评估了16个数据集 (老鼠,小鼠,人类) 的性能,涉及8种化学品/药物,评估了CDT识别等级和假阳性.
主要成果:
- 在16个实验中,PURE在11个实验中超过了现有方法.
- 纯正正确地确定了因果CDT在顶级排名7次.
- IPA排名第二,但在5次实验中未能确定正确的CDT.
结论:
- PURE有效地推断出真正的CDT负责观察到的基因表达变化.
- 与流行的方法相比,PURE方法显示出更高的性能.
- 在药物重新定位和理解疾病病因学方面,PURE具有很大的应用潜力.
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