LETTER
Genetic Expression in Biological Systems: A Digital Communication Perspective
Yesenia Cevallos1, Luis Tello-Oquendo1, *, Deysi Inca1, César Palacios1, Leonardo Rentería1
Article Information
Identifiers and Pagination:
Year: 2019Volume: 12
First Page: 45
Last Page: 49
Publisher ID: TOBIOIJ-12-45
DOI: 10.2174/1874196701912010045
Article History:
Received Date: 16/03/2019Revision Received Date: 21/06/2019
Acceptance Date: 18/08/2019
Electronic publication date: 30/09/2019
Collection year: 2019
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: (https://creativecommons.org/licenses/by/4.0/legalcode). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
The transcription and translation of Deoxyribonucleic Acid (DNA) involve the processing of genetic information (adenine, thymine, guanine, and cytosine), which can be interpreted as the processing of discrete signals. Additionally, the proper transmission and reception of proteins can be understood with typical theories of digital communication systems. Thus, concepts as routing, error control, and Shannon’s theorem may be the equivalence to determine a target organ, the maturation in the primary transcript molecule of Ribonucleic Acid (RNA) messenger, and the regulation of gene expression (that defines the development of multicellular organisms), respectively. Due to the high performance of transmitting information shown by typical digital communication systems, modeling the analogies between biological communication systems and digital communication systems as mentioned above may allow overcoming the challenges that biological systems face and having more efficient treatment of lethal diseases such as cancer.