Theoretical Basis for Gene Expression Modeling Based on the IEEE 1906.1 Standard

Yesenia Cevallos, Tadashi Nakano, Luis Tello-Oquendo, Nishtha Chopra, Amin Zadeh Shirazi, Deysi Inca, Ivone Santillán

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva


Molecular communications essentially analyze the transmission of the information at the nano level in cells, the smart devices that constitute our bodies. This emerging field uses traditional communication systems elements and maps them to molecular signaling and communication found inside and outside the body. Hence, molecular communications’ fundamental importance denotes the necessity to develop a new technology framework that provides a novel perspective to fight human diseases (the COVID-19 pandemic has highlighted this challenge). Thus, the architecture for molecular communications can be explored from the perspective of computer networks, i.e., the TCP/IP reference model and the basic model of MC can also be represented using Shannon’s communication model (i.e., transmitter, communication channel, and receiver). In this field, IEEE impulses the 1906.1 and 1906.1.1 standards that establish definitions, terminology, and a conceptual model for ad hoc network communication at the nanoscale. With these ICT perspectives, we appropriately have analyzed gene expression in eukaryotes organisms as a layered stack (network, link, and physical layer) of a nano communication network. In this biological communication process, the cellular nucleus behaves as the DTE, the ribosomes, and Endoplasmic Reticulum represent the DCE, the Golgi Apparatus represents a border router. The proteins secreted by the cell move through the bloodstream (physical transmission medium) and reaching the receiver (DCE-DTE), which processes the information through ligands and their receptors.

Idioma originalInglés
Título de la publicación alojadaBio-Inspired Information and Communications Technologies - 13th EAI International Conference, BICT 2021, Proceedings
EditoresTadashi Nakano
EditorialSpringer Science and Business Media Deutschland GmbH
Número de páginas18
ISBN (versión impresa)9783030921620
EstadoPublicada - 2021
Publicado de forma externa
Evento13th EAI International Conference on Bio-inspired Information and Communications Technologies, BICT 2021 - Virtual, Online
Duración: 1 sep. 20212 sep. 2021

Serie de la publicación

NombreLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volumen403 LNICST
ISSN (versión impresa)1867-8211
ISSN (versión digital)1867-822X


Conferencia13th EAI International Conference on Bio-inspired Information and Communications Technologies, BICT 2021
CiudadVirtual, Online


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