In this article, deterministic mathematical models are derived from biochemical models within a human
cell in two distinct cases, for comparison: healthy cell and cancerous cell. The former model is based in the
cell cycle model by Novak and Tyson and its adaptation by Conradie, and makes use of the MAPK cascade
pathway and the PI3K/AKT pathway for signalling transduction, to create a wider updated model for the
regulation of a healthy cell. The latter model, for the cancer cell, is derived from the healthy cell model by
altering speciﬁc pathways and interpreting the outcome in the light of literature in cancer. This last study is
done in two approaches: simulation of common deregulations and speciﬁc cancer simulation, colon cancer.
After studying both models, we propose targeting therapies and simulate their consequences. We thus explore mathematical modeling efﬁcacy and usefulness in providing enough information from which to derive ideas for therapies. The purpose is to validate mathematics, once again, as a powerful tool with which one can model the underlying nature of chaotic systems and extract useful conclusions to real-life problems.