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Graph–sequence attention and transformer for predicting drug–target affinity
2022
RSC Advances
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We proposed a novel model based on self-attention, called GSATDTA, to predict the binding affinity between drugs and targets. Experimental results show that our model outperforms the state-of-the-art methods on two independent datasets.
doi:10.1039/d2ra05566j
fatcat:xbnn3qqmfbc3fkiroddrynvcae