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Bio-Inspired Information and Communications Technologies. 13th EAI International Conference, BICT 2021, Virtual Event, September 1–2, 2021, Proceedings

Research Article

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

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  • @INPROCEEDINGS{10.1007/978-3-030-92163-7_12,
        author={Yesenia Cevallos and Tadashi Nakano and Luis Tello-Oquendo and Nishtha Chopra and Amin Zadeh Shirazi and Deysi Inca and Ivone Santill\^{a}n},
        title={Theoretical Basis for Gene Expression Modeling Based on the IEEE 1906.1 Standard},
        proceedings={Bio-Inspired Information and Communications Technologies. 13th EAI International Conference, BICT 2021, Virtual Event, September 1--2, 2021, Proceedings},
        proceedings_a={BICT},
        year={2022},
        month={1},
        keywords={Genetic expression Molecular communication Stack network modeling IEEE 1906.1 standard},
        doi={10.1007/978-3-030-92163-7_12}
    }
    
  • Yesenia Cevallos
    Tadashi Nakano
    Luis Tello-Oquendo
    Nishtha Chopra
    Amin Zadeh Shirazi
    Deysi Inca
    Ivone Santillán
    Year: 2022
    Theoretical Basis for Gene Expression Modeling Based on the IEEE 1906.1 Standard
    BICT
    Springer
    DOI: 10.1007/978-3-030-92163-7_12
Yesenia Cevallos1, Tadashi Nakano2, Luis Tello-Oquendo1,*, Nishtha Chopra, Amin Zadeh Shirazi3, Deysi Inca1, Ivone Santillán
  • 1: College of Engineering
  • 2: Graduate School of Frontier Biosciences
  • 3: Centre for Cancer Biology, SA Pathology and the University of South of Australia, Adelaide
*Contact email: lptelloq@ieee.org

Abstract

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.

Keywords
Genetic expression Molecular communication Stack network modeling IEEE 1906.1 standard
Published
2022-01-01
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-92163-7_12
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