Drug repositioning based on triangularly balanced structure for tissue-specific diseases in incomplete interactome

作者：

Highlights：

• We proposed an algorithm to predict new drugs for diseases based on tissue specificities and the triangularly balanced structure on incomplete data.

• Taking breast cancer and HCC as case studies, 96.9% and 90.3% in the top-5% predicted results match with known associations in CTD respectively.

• We predicted: Pralatrexate may be a potential treatment for breast cancer; Vindesine and Cabazitaxel may be treat HCC; Pralatrexate may be cause HCC.

摘要

•We proposed an algorithm to predict new drugs for diseases based on tissue specificities and the triangularly balanced structure on incomplete data.•Taking breast cancer and HCC as case studies, 96.9% and 90.3% in the top-5% predicted results match with known associations in CTD respectively.•We predicted: Pralatrexate may be a potential treatment for breast cancer; Vindesine and Cabazitaxel may be treat HCC; Pralatrexate may be cause HCC.

论文关键词：Drug repositioning,Triangularly balanced structure,Tissue specificity,Module distance

论文评审过程：Received 17 December 2016, Revised 6 January 2017, Accepted 17 March 2017, Available online 22 March 2017, Version of Record 11 May 2017.

论文官网地址：https://doi.org/10.1016/j.artmed.2017.03.009