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.

Highlights

  • INTRODUCTIONThe Information and Codification Theories (ICTs) show significant parallels between traditional communication systems (electronic or optical) and biological communication systems [1]

  • The Information and Codification Theories (ICTs) show significant parallels between traditional communication systems and biological communication systems [1]

  • We proposed a model of gene expression through a digital communication system

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Summary

INTRODUCTION

The Information and Codification Theories (ICTs) show significant parallels between traditional communication systems (electronic or optical) and biological communication systems [1]. There is a source of information where the data are represented by particles or molecules (stored in that source through a physical process) These particles are emitted to a communication medium the propagation of which to the receiver is based on physical-chemical mechanisms. This article proposes to model gene expression as a digital communication system since digital communication constitutes one of the most efficient technologies for information processing and transference. Such advantages, when applied to the medical field, could improve the quality of life of human beings employing a new paradigm for the treatment of diseases.

Digital DNA Transcription Model
Biological Propagation of Information on the Transmission Channel
Use of Information at the Receiver
CONCLUSION
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