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A novel computational approach for drug repurposing using systems biology

机译:一种使用系统生物学重新估算的新型计算方法

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Motivation: Identification of novel therapeutic effects for existing US Food and Drug Administration (FDA)-approved drugs, drug repurposing, is an approach aimed to dramatically shorten the drug discovery process, which is costly, slow and risky. Several computational approaches use transcriptional data to find potential repurposing candidates. The main hypothesis of such approaches is that if gene expression signature of a particular drug is opposite to the gene expression signature of a disease, that drug may have a potential therapeutic effect on the disease. However, this may not be optimal since it fails to consider the different roles of genes and their dependencies at the system level.
机译:动机:鉴定现有美国食品和药物管理局(FDA)的新疗效(FDA) - 批准药物,药物重新施用,是一种旨在大大缩短药物发现过程的方法,这是昂贵的,缓慢和危险。 几种计算方法使用转录数据来查找潜在的重新展示候选者。 这种方法的主要假设是,如果特定药物的基因表达特征与疾病的基因表达特征相反,则该药物可能对该疾病具有潜在的治疗作用。 然而,这可能不是最佳的,因为它未能考虑基因的不同角色及其在系统级别的依赖性。

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