The validation metrics are a more accurate way to measure a deep-learning model because they better simulate the model's performance on a separate dataset and confirm that a model is not Table shows the top drug candidates ranked by the deep neural network score. For each given compound, the algorithm outputs a number between 0 and 1. The closer the value is to 0 the more likely it is a non-inhibitor, and the closer the value is to 1 the more likely it is a p38 inhibitor.