Novel biological targets for small compounds have been predicted via pharmacophore screening ( ), structure similarity assessment ( ), reverse docking ( ) and ML ( ), depending on the availability of protein structure and the chemical structure of the drug of interest. Despite the rest of the methods, ML is an essential element of artificial intelligence that can be utilised with or without oversight. Supervised learning uses annotated datasets to train models to classify data and accurately predict outcomes.