iDOMO:通过多组操作识别药物组合来治疗疾病
Xianxiao Zhou1,2,3, Ling Wu4, Minghui Wang1,2,3
1Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, United States.
Briefings in bioinformatics
|February 20, 2025
概括
我们开发了iDOMO,这是一种计算方法,用于预测复杂疾病的协同药物组合. 这种方法显著优于现有方法,并经过实验验证,用于治疗三阴性乳腺癌.
科学领域:
- 计算生物学是一种计算生物学.
- 药理学 药理学是指药理学的学科.
- 基因组学就是基因组学.
背景情况:
- 组合疗法对于针对多个途径的复杂疾病至关重要.
- 实验性药物组合查是昂贵和耗时的.
- 大规模的转录基因数据使得药物协同作用的计算预测成为可能.
研究的目的:
- 开发一种计算方法,iDOMO,用于预测协同作用的药物组合.
- 评估iDOMO的性能与现有方法相比.
- 确定和验证三阴性乳腺癌 (TNBC) 的协同药物组合.
主要方法:
- 在药物和疾病基因签名上使用多组操作开发了iDOMO.
- 量化药物协同作用,考虑有益和有害的影响.
- 在DREAM挑战和大规模药物组合数据集上评估iDOMO.
主要成果:
- iDOMO显著超过了治疗得分和SynergySeq正交度得分.
- 确定了TNBC的协同药物对,特别是trifluridine和monobenzone.
- 在体外实验证实了最高预测TNBC组合的协同效应.
结论:
- iDOMO是一种有效的计算工具,用于对协同药物组合的in silico选.
- 该方法有助于开发复杂疾病的新疗法.
- 经过验证的协同作用药物组合可以加速药物发现.
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