Heart disease is significant global health concern. Coronary heart disease (CHD) is leading cause of mortality while medical interventions have significantly improved outcomes, there is a growing evidence to suggest that lifestyle modification play a pivotal role in preventing CHD. The molecular structure and properties of drugs play a critical role in maintaining heart disease. Additionally, we investigate potential implications of partition dimension in drug design and optimization. By examining the relationship between partition dimension and drugs molecular structure. We aim to identify molecular characteristics associated with enhanced drugs performance and reduced adverse effects. This research paper present a comprehensive analysis of the partition dimension molecular formula of heart disease drugs such as Metoprolol, Ivabrodin, Dapagliflosim, Empagliflotin and Vericiguate. To study the structural properties of these cardiac disease drugs and using the concept of partition dimension or partition metric Basis which involves identifying proper subsets of the entire vertex set to uniquely the whole structure of as a partition resolving set. This vertex metric resolvability approach helps in characterizing the properties of these cardiac disease drug structures.