Biopharmaceutics and Biologic Drugs

In this study, we propose the design of a protocol stack network model to explain gene expression. Gene expression is the process by which information carried by deoxyribonucleic acid (DNA) is transformed into proteins. Proteins are produced in the cell and excreted to perform a biological function. Th e nucleus of eukaryotic cells is the source of biological information, which must be modifi ed via intracellular communication to reach an adequate cellular or extracellular destination. This process implies that information is transferred through a biological path, and aft er it is received, a biological function is performed.

The transmission of proteins (specifi cally peptide hormones) to a target organ through blood stream involves the golgi apparatus, which is similar to the digital communication process wherein a transmitter in a network sends information to a destination device in another network through a router. Th e modeling that we have proposed is supported by very well know theories in communications as Shannon’s theorem, and network characteristics (e.g., independent functions of layers in a stack, addressing, fl ow control, error control, and traffi c control). Our analysis is focused in the importance of the addressing in networks applied to biological systems to reduce the incidence of side eff ects of drugs used to treat disease. Th e objective is to improve the quality of treatment for patients from health and socio-economic perspectives.