Systems biology is a branch of the life sciences that enables the acquisition of knowledge through the integration of multiple and diverse datasets into quantitative computational models. These models are capable of predicting the behavior of biological systems based on experimental data regarding molecular interactions. The identity-based approach presented for this research project, which ran from 2012 to 2015, sought to bridge mathematical logic and biology, formally reflecting the collaborative nature of scientific research.