OntoRepliCov: an Ontology-Based Approach for Modeling the SARS-CoV-2 Replication Process

Autor: Isabelle Imbert, Wissame Laddada, India L'Hote, Lina Fatima Soualmia, Cecilia Zanni-Merk, Ali Ayadi, Claudia Frydman
Přispěvatelé: Modèles et Formalismes à Evénements Discrets (MOFED), Laboratoire d'Informatique et Systèmes (LIS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Architecture et fonction des macromolécules biologiques (AFMB), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Laboratoire d'Informatique, du Traitement de l'Information et des Systèmes (LITIS), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA), Normandie Université (NU), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)
Rok vydání: 2021
Předmět:
Zdroj: KES
Procedia Computer Science
Procedia Computer Science, Elsevier, 2021, 192, pp.487-496. ⟨10.1016/j.procs.2021.08.050⟩
Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES2021
Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES2021, Sep 2021, Szczecin, Poland, Poland. pp.487-496, ⟨10.1016/j.procs.2021.08.050⟩
Procedia Computer Science, 2021, 192, pp.487-496. ⟨10.1016/j.procs.2021.08.050⟩
KES, Sep 2021, Szczecin, Poland. pp.487-496, ⟨10.1016/j.procs.2021.08.050⟩
ISSN: 1877-0509
Popis: Communication au congrès KES de 2021 qui s'est déroulé à Szczecin; International audience; Understanding the replication machinery of viruses contributes to suggest and try effective antiviral strategies. Exhaustive knowledge about the proteins structure, their function, or their interaction is one of the preconditions for successfully modeling it. In this context, modeling methods based on a formal representation with a high semantic expressiveness would be relevant to extract proteins and their nucleotide or amino acid sequences as an element from the replication process. Consequently, our approach relies on the use of semantic technologies to design the SARS-CoV-2 replication machinery. This provides the ability to infer new knowledge related to each step of the virus replication. More specifically, we developed an ontology-based approach enriched with reasoning process of a complete replication machinery process for SARS-CoV-2. We present in this paper a partial overview of our ontology OntoRepliCov to describe one step of this process, namely, the continuous translation or protein synthesis, through classes, properties, axioms, and SWRL (Semantic Web Rule Language) rules.
Databáze: OpenAIRE