Copper is an essential nutrient and acts as a cofactor for many enzymes and proteins. Thereare sophisticated mechanisms balancing copper import and export to ensure required nutrientlevels, while minimizing its toxic effects. Utilising the tools of data modeling and databasedesign, the health informatics pertaining to Menkes and Wilson’s diseases are evaluated andportrayed through conceptual modeling by adopting the Entity-Relationship (ER) modelinggrammar. The envisaged ER model displayed five entity types, each with optional andmandatory attributes. The participation constraints and cardinality relationships amongentity types constitute the core components of ER model as they render the model selfexplanatory.These relationships between entity types are shown through templates (diamondshaped)in ER model and they communicated intricate network and consequences of copperimbalance. The designed model provided information in nutshell about the molecularevidences such as the genes coding for coppertransporter proteins, the chromosomal locationof such genes, the clinical symptoms and possible prophylactic measures. The scope for designingsuch models to conceptualize the concepts in biology is discussed as the data in biology isneither obsolete nor limited.