Recently-there-has-been-an-increasing-focus-on-the-application-of-deep-learning-models-to-improve-protein-ligand-docking-methods-such-as-the-construction-of-scoring-functions-and-the-prediction-of-binding-poses-Various-machine-learning-methods-and-hy

In recent times, significant attention has been given to utilizing deep learning models to enhance protein-ligand docking techniques, including developing scoring functions and predicting binding poses. Researchers are exploring various machine learning methods and theories to model protein-ligand docking, with neural network-based deep learning models showing immense potential in this area. To ensure the reliability and objectivity of these proposed protein-ligand docking systems, it is crucial to evaluate them on an unbiased benchmark system using different datasets for calibration.