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The identification of novel drug-target (DT) interactions is a substantial part of the drug discovery process.
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Simboost: a read-across approach for predicting drug–target binding affinities using gradient boosting machines
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Protein–ligand scoring with convolutional neural networks
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A computational-based method for predicting drug–target interactions by using stacked autoencoder deep neural network
L. Wang, Z.-H. You, X. Chen, S.-X. Xia, F. Liu, X. Yan, Y. Zhou, and K.-J. Song · 2017
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Deep-learning-based drug–target interaction prediction
M. Wen, Z. Zhang, S. Niu, H. Sha, R. Yang, Y. Yun, and H. Lu · 2017
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Recurrent neural network model for constructive peptide design
A. T. Muller, J. A. Hiss, and G. Schneider · 2018
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A novel methodology on distributed representations of proteins using their interacting ligands
H. Öztürk, E. Ozkirimli, and A. Özgür · 2018
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