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CarsiDock: a deep learning paradigm for accurate protein-ligand docking and screening based on large-scale pre-training The expertise accumulated on deep neural networks-based structure prediction has been widely transferred to the field of protein-ligand binding pose prediction, thus leading to the emergence of a variety of deep learning-guided docking models for predicting protein-ligand binding poses without relying on heavy sampling.
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