Fig. show that under the four scenarios with different reliability priorities, the molecules were optimized as intended. The vertical axis in Fig. shows the reliability levels explored using the DyRAMO. In pattern 2 (inhibitory activity prioritized), the reliability level for the inhibitory activity was higher than that in the no-priority pattern, approximately 0.63 and 0.53, respectively. Similar increases in the explored reliability levels were observed for patterns 3 (metabolic stability prioritized) and 4 (permeability prioritized). Figs. and show the evolution of the DSS score, reliability levels, and scaled predicted properties of designed molecules, respectively. d, e, The search processes by BO (d) and random exploration (e) in the space of averaged reliability levels and the average scaled predicted properties. Each exploration step is color-coded, white at the beginning of the exploration and changing to orange as the exploration progresses. In the BO-assisted exploration, the exploration proceeded to optimize both the averaged reliability levels and scaled properties. patterns 3, 4, and 5. The similarity between the designed and training molecules for the prediction model was relatively high for the prioritized properties. In particular, when priority was given to metabolic stability or membrane permeability (pattern 3 and 4), whose optimized reliability levels were relatively low in pattern 1, slightly different molecules were designed, as shown in Figs. and. These results indicate that DyRAMO can adjust the reliability, reflecting priorities among the target properties.