A computational
system and method for digital modeling of
biochemical reactions within cardiac cells are disclosed. The
system comprises processors and a computer-readable storage device with instructions to maintain
biological data related to
cardiac cell reactions and receive user selections via a
user interface to configure a
simulation. The user can select a
cardiac cell class, and functions to load cellular components, generate
enzyme activity, load specific enzymes, and perform enzymatic reactions. The
system performs
in silico experiments, predicts new
biological data, and compiles this into configuration data. An
enzyme activity model is generated and simulated under various conditions, including user-defined enzymatic dysregulation, to replicate and study cardiac
physiology and
pathology. The results, such as changes in
energy metabolism parameters like glucose consumption and ATP usage, are outputted. The system provides a detailed and interactive platform for research and education in
cardiac electrophysiology and
disease.