<p>The individual functions of most iron-containing species in <i>Saccharomyces cerevisiae</i> are fairly-well understood, but less is known regarding how they function collectively as a unified system. Here, an ODE-based kinetic cell model was developed to reveal system’s-level behavior of iron metabolism. The dimensionally-accurate in silico cell was divided into 5 compartments. It contained 80 components that engaged in 169 reactions. The cell grew on nutrients IRON, CARBON and OXYGEN. All major iron-related processes were represented including the biosynthesis and metallation of iron-containing proteins, trafficking of labile iron pools, homeostatic regulation, respiration, the TCA cycle, iron-sulfur-cluster and heme biosynthesis, the synthesis of DNA, phospholipids, amino acids, and nucleotide triphosphates, and reactions involving oxygen and reactive-oxygen-species. Iron and carbon were conserved in reaction stoichiometries. The time-dependent model was solved using the Basic Pathways approach, despite limited kinetic information. Once regulated appropriately, the system could withstand perturbations in component concentrations by returning to its original steady-state. It responded to changes in nutrient iron and oxygen concentrations and to changes in rate-constants, yielding altered sets of steady-state component concentrations. The latter type of perturbation is tantamount to altering the expression level of a gene. This ability offers the potential to explain phenotypic changes of genetic mutations on the mechanistic molecular level. The model included all established iron-related cellular processes (albeit in combined forms), and a highly interrelated reaction network reflecting a mutually autocatalytic system. Steady-state iron concentrations in the cell, organelles, and components were reasonably near to those observed/estimated experimentally.</p>