Reward topX is the average of the top X reward values for the designed molecules, which indicates how well the multi-objective optimization was achieved. In this study, the top 10% of the reward values for the designed molecules were considered. It should be noted that this framework is constructed to work well with other definitions of ADs and uncertainties of prediction models, as long as any parameter of reliability level is available.