Department of Biochemistry and Biophysics, Stockholm University, Science for Life Laboratory, Box 1031, 17121, Solna, Sweden.
Sci Rep. 2021 Oct 19;11(1):20687. doi: 10.1038/s41598-021-99721-y.
This analysis presents a systematic evaluation of the extent of therapeutic opportunities that can be obtained from drug repurposing by connecting drug targets with disease genes. When using FDA-approved indications as a reference level we found that drug repurposing can offer an average of an 11-fold increase in disease coverage, with the maximum number of diseases covered per drug being increased from 134 to 167 after extending the drug targets with their high confidence first neighbors. Additionally, by network analysis to connect drugs to disease modules we found that drugs on average target 4 disease modules, yet the similarity between disease modules targeted by the same drug is generally low and the maximum number of disease modules targeted per drug increases from 158 to 229 when drug targets are neighbor-extended. Moreover, our results highlight that drug repurposing is more dependent on target proteins being shared between diseases than on polypharmacological properties of drugs. We apply our drug repurposing and network module analysis to COVID-19 and show that Fostamatinib is the drug with the highest module coverage.
本分析通过将药物靶点与疾病基因联系起来,对药物重用到治疗机会的程度进行了系统评估。当使用 FDA 批准的适应症作为参考水平时,我们发现药物重用到治疗疾病的范围平均可以增加 11 倍,通过扩展药物靶点及其高置信度的近邻,每个药物治疗的疾病数量最多可以从 134 增加到 167。此外,通过将药物与疾病模块进行网络分析,我们发现药物平均靶向 4 个疾病模块,但同一药物靶向的疾病模块之间的相似性通常较低,扩展药物靶点后,每个药物靶向的疾病模块数量最多可以从 158 增加到 229。此外,我们的结果表明,药物重用到治疗疾病的程度更多地取决于疾病之间靶点蛋白的共享,而不是药物的多靶性。我们将药物重用到网络模块分析应用于 COVID-19,并表明 Fostamatinib 是具有最高模块覆盖率的药物。