https://www.selleckchem.com/products/etc-159.html
Identifying proteins that interact with drugs plays an important role in the initial period of developing drugs, which helps to reduce the development cost and time. Recent methods for predicting drug-protein interactions mainly focus on exploiting various data about drugs and proteins. These methods failed to completely learn and integrate the attribute information of a pair of drug and protein nodes and their attribute distribution. We present a new prediction method, GVDTI, to encode multiple pairwise representations, including atten
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