The development of a pharmacophore model was undertaken utilizing MOE 2015.10. The initial phase involved the calculation of all potential conformations for each structure, achieved by determining the low-energy conformations of a set of molecules. These conformations were subsequently employed to generate pharmacophore queries that exhibited substantial overlaps in the majority of the active molecules, while maintaining a clear distinction from the inactive ones. The ensuing step involved the execution of a "Global Search validation", an automated pipeline designed to validate hundreds of pharmacophore models. This process identified hits that were both active and inactive through the Pharmacophore Search in MOE. The final results were automatically evaluated using a Python script. This comprehensive and systematic approach underscores the meticulous nature of pharmacophore model development and highlights the potential impact of such models on pharmaceutical research.