Prediction of Adverse Drug Reactions Using Drug Convolutional Neural Networks

Prediction of Adverse Drug Reactions has been an important aspect of Pharmacovigilance because of its impact in the pharma industry. The standard process of introduction of a new drug into a market involves a lot of clinical trials, tests, etc. This is a tedious process and also involves a lot of monetary resources. The faster approval of a drug helps the patients who are in need of the drug.
The insilico prediction of Adverse Drug Reactions can help speed up the aforementioned process. The challenges involved are lack of negative data present and predicting ADR from just the chemical structure.