Fingerprint-embedding Framework for Drug-Target Binding Affinity Prediction (FingerDTA) (IMAGE)
Caption
In the fingerprint-embedding framework for drug-target binding affinity prediction (FingerDTA), fingerprints of drugs and targets are calculated from the whole SMILES sequence and the whole amino acid sequence. Global information is extracted from these fingerprints by some fully connected layers. The global information is combined with baseline convolutional neural network models through an attention-like process that guides the convolutional neural network model training.
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Big Data Mining and Analytics, Tsinghua University Press
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