The goal of this project is to predict drug interactions with proteins by utilizing drug and target data. By identifying key drug and target protein characteristics, a neural network could predict how a given drug will interact with its target protein as well as other proteins that could have unintended interactions. To determine if interactions could accurately be predicted, a Convolution Neural Network (CNN) model was trained and tested, proving its potential in aiding pharmaceutical drug discovery.