Open AccessModeling Gene Expression and Protein Delivery as an End-to-End Digital Communication System
Author(s) -
Yesenia Cevallos,
Tadashi Nakano,
Luis Tello-Oquendo,
Deysi Inca,
Ivone Santillán,
Amin Zadeh Shirazi,
Ahmad Rushdi,
Nicolay Samaniego
Publication year - 2021
Publication title -
the open bioinformatics journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.259
H-Index - 8
ISSN - 1875-0362
DOI - 10.2174/1875036202114010021
Subject(s) - computer science , computer network , robustness (evolution) , distributed computing , information flow , molecular communication , transmitter , computational biology , biology , gene , genetics , linguistics , philosophy , channel (broadcasting)
Introduction: Digital communication theories have been well-established and extensively used to model and analyze information transfer and exchange processes. Due to their robustness and thoroughness, they have been recently extended to the modeling and analyzing data flow, storage, and networking in biological systems. Methods: This article analyses gene expression from a digital communication system perspective. Specifically, network theories, such as addressing, error control, flow control, traffic control, and Shannon's theorem are used to design an end-to-end digital communication system representing gene expression. We provide a layered network model representing the transcription and translation of deoxyribonucleic acid (DNA) and the end-to-end transmission of proteins to a target organ. The layered network model takes advantage of digital communication systems' key features, such as efficiency and performance, to transmit biological information in gene expression systems. Results: Thus, we define the transmission of information through a bio-internetwork (LAN-WAN-LAN) composed of a transmitter network (nucleus of the cell, ribosomes and endoplasmic reticulum), a router (Golgi Apparatus), and a receiver network (target organ). Conclusion: Our proposal can be applied in critical scenarios such as the development of communication systems for medical purposes. For instance, in cancer treatment, the model and analysis presented in this article may help understand side effects due to the transmission of drug molecules to a target organ to achieve optimal treatments.