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COMBINING DEVS AND SEMANTIC TECHNOLOGIES FOR MODELING THE SARS-COV-2 REPLICATION MACHINERY

Abstract : The search for inhibitors of SARS-CoV-2 viral replication depends on the understanding of the events taking place at different molecular levels during the viral infection. The macro-molecular level focuses on the interactions among viral and host proteins, while the micro-molecular level focuses on the different biochemical modifications that occur to one or more amino acids on proteins. A hybrid approach for modeling the SARS-CoV-2 viral replication in the micro-and macro-molecular levels is presented in this paper. The proposed approach combines two domains which complement one another, ontology engineering and discrete event system specification (DEVS) modeling.In this approach, biological knowledge at the micro-level of the viral system is capitalized and inferred by ontological models, while the dynamic behavior of SARS-CoV-2 molecular mechanisms and their different state changes in time are modeled by DEVS models. We illustrate the proposed approach through the modeling and simulation of the ribosome, a key molecule of the host cell that all viruses compete for, including the SARS-CoV-2.
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https://hal-amu.archives-ouvertes.fr/hal-03614037
Contributor : claudia frydman Connect in order to contact the contributor
Submitted on : Saturday, March 19, 2022 - 12:12:53 PM
Last modification on : Thursday, May 5, 2022 - 3:40:16 AM
Long-term archiving on: : Monday, June 20, 2022 - 6:13:06 PM

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  • HAL Id : hal-03614037, version 1

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Ali Ayadi, Claudia Frydman, Wissame Laddada, Lina Soualmia, Cecilia Zanni-Merk, et al.. COMBINING DEVS AND SEMANTIC TECHNOLOGIES FOR MODELING THE SARS-COV-2 REPLICATION MACHINERY. annual modeling and simulation conference, Jul 2021, San Diego, United States. ⟨hal-03614037⟩

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