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Abstract: Computational methods for predicting drug-target binding affinity (DTA) are critical for large-scale screening of prospective therapeutic compounds during drug discovery. Deep neural ...

ONNXim is a fast cycle-level simulator that can model multi-core NPUs for DNN inference. Its features include the following: ONNXim requires ONNX graph files (.onnx) to simulate DNN models. We provide ...

Abstract: Accurately predicting protein-peptide binding residues is paramount in elucidating protein functions, unraveling disease mechanisms, and advancing drug discovery. Most existing methods for ...