期刊
ONCOTARGET
卷 8, 期 55, 页码 93957-93968出版社
IMPACT JOURNALS LLC
DOI: 10.18632/oncotarget.21398
关键词
network pharmacology; drug repurposing; TCMs; pathway profile; LDW
资金
- National Nature Science Foundation of China [61772368, 61572363, 91530321, 61602347, 81573702, 31671374]
- Ministry of Science and Technology's high-tech (863) grant [2014AA021502]
- Sino-German Research Center grant [GZ878]
- China Postdoctoral Science Foundation Funded Project [2016M601647]
- City University of Hong Kong [7004707]
With the ever increasing cost and time required for drug development, new strategies for drug development are highly demanded, whereas repurposing old drugs has attracted much attention in drug discovery. In this paper, we introduce a new network pharmacology approach, namely PINA, to predict potential novel indications of old drugs based on the molecular networks affected by drugs and associated with diseases. Benchmark results on FDA approved drugs have shown the superiority of PINA over traditional computational approaches in identifying new indications of old drugs. We further extend PINA to predict the novel indications of Traditional Chinese Medicines (TCMs) with Liuwei Dihuang Wan (LDW) as a case study. The predicted indications, including immune system disorders and tumor, are validated by expert knowledge and evidences from literature, demonstrating the effectiveness of our proposed computational approach.
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