Learning long- and short-term dependencies for improving drug-target binding affinity prediction using transformer and edge contraction pooling
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The accurate identification of drug-target affinity (DTA) is crucial for advancements in drug discovery and development. Many deep learning-based approaches have been devised to predict drug-target binding affinity accurately, exhibiting notable improvements i... ...
