To improve the prediction results for the %LC and TD models, we decided to include the physical degradation of the peptide as measured by the ThioT curve measured at each time-point for the storage conditions (data shown in Figure for the initial (6a), 1-month (6b), 6-month (6c) and 12-month (6d) time-points). Here, the ThioT curve was given to the model as a normalized vector where each point of the curve measured over the 48-hour experiment became an independent input to the model. Since this value was measured every 15 minutes, there are 192 points available to the model. We used a rolling average with a window of 5 to smooth out the curve and trained the models using only the resulting ThioT curve as well as a model containing both the ThioT as well as the storage conditions used in the previous sections. The results of this modeling are shown in Table for MLP, RF, and SVM models.