HeTDR: Drug Repositioning based on Heterogeneous networks and Text mining

Drug repositioning is a useful way to discover new drug candidates for curing diseases. However, integrating multiple networks and text mining information for drug repositioning is still a major challenge. We propose a drug repositioning method based on heterogeneous networks and text mining (HeTDR), which can combine drug features from multiple networks and disease features from biomedical corpora for drug repositioning. HeTDR obtains high accuracy in predicting drug-disease interactions and is capable of finding novel indications of approved drugs.More details can be found at: https://github.com/stjin-XMU/HeTD