In this study, we propose a workflow to improve aqueous solubility prediction. We select a database that should be suitable for organic FB applications. Our methodology comprises four steps: (i) cleaning the database, (ii) developing structurebased descriptors, (iii) implementing an outlier detection process to refine the data, and (iv) conducting a thorough discussion of the results to suggest potential directions for future research.