https://www.selleckchem.com/products/unc5293.html
Breast cancer is one of the leading causes of cancer deaths among women worldwide. It is necessary to develop new breast cancer drugs because of the shortcomings of existing therapies. The traditional discovery process is time-consuming and expensive. Repositioning of clinically approved drugs has emerged as a novel approach for breast cancer therapy. However, serendipitous or experiential repurposing cannot be used as a routine method. In this study, we proposed a graph neural network model GraphRepur based on GraphSAGE for drug repurp
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