Researchers in Russia have put together the world’s largest dataset to date for training deep neural network models. The dataset contains around six million conformations of about one million drug-like molecules. From a computational point of view, one must know details such as conformation energies and the Hamiltonian matrix parameters to forecast the biological activity […]
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