In future developments, our research aims to enhance user control by enabling the selection of preferred fingerprints for Tanimoto coefficient calculations. Additionally, we plan to introduce combinable filtering conditions, offering a more dynamic and refined search experience. Furthermore, our focus extends to incorporating diverse descriptors of pharmaceutical relevance, such as ADME properties, NP-likeness, structural complexity, and PAINS alerts, broadening the scope of information available for analysis.