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10.1016/j.procs.2021.08.050 http://scihub22266oqcxt.onion/10.1016/j.procs.2021.08.050 34630741!8486259!34630741     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\34630741.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Procedia+Comput+Sci 2021 ; 192 (ä): 487-496 Nephropedia Template TP {{tp|p=34630741|t=2021. OntoRepliCov: an Ontology-Based Approach for Modeling the SARS-CoV-2 Replication Process |pdf=|usr=}}{{34630741}} gab.com Text OntoRepliCov: an Ontology-Based Approach for Modeling the SARS-CoV-2 Replication Process JO: Procedia Comput Sci http://www.kidney.de/pget.php?&tw=1&pmid=34630741 #FOAvip 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. Twit Text FOAVip OntoRepliCov: an Ontology-Based Approach for Modeling the SARS-CoV-2 Replication Process ????Procedia Comput Sci http://www.kidney.de/pget.php?&tw=1&pmid=34630741 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34630741 #FOAvip English Wikipedia <ref>{{Cite pmid|34630741}}</ref> OntoRepliCov: an Ontology-Based Approach for Modeling the SARS-CoV-2 Replication Process #MMPMID34630741 Laddada W; Soualmia LF; Zanni-Merk C; Ayadi A; Frydman C; L'Hote I; Imbert I Procedia Comput Sci 2021[]; 192 (ä): 487-496 PMID34630741show ga 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. äOntoRepliCov: an Ontology-Based Approach for Modeling the SARS-CoV-2 R(epmc).pdf DeepDyve Pubget Overpricing