Is there any research on the application of AI for drug design?
For example, you could train a deep learning model about current compounds, substances, structures, and their products and chemical reactions from the existing dataset (basically what produces what). Then you give the task to find how to create a gold or silver from the group of available substances. Then the algorithm will find the chemical reactions (successfully predicting a new one that wasn't in the dataset) and gives the results. Maybe the gold is not a good example, but the practical scenario would be the creation/design of drugs that are cheaper to create by using much simpler processes or synthesizing some substances for the first time for drug industries.
Was there any successful research attempting to achieve that using deep learning algorithms?