Artikel: Inferring Recombination Events in SARS-CoV-2 Variants In Silico.
Advances in experimental medicine and biology
2023 Band 1412, Seite(n) 253–270
Abstract: Over the last 34 months, at least 10 severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) distinct variants have evolved. Among these, some were more infectious while others were not. These variants may serve as candidates for identification of ... ...
| Abstract | Over the last 34 months, at least 10 severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) distinct variants have evolved. Among these, some were more infectious while others were not. These variants may serve as candidates for identification of the signature sequences linked to infectivity and viral transgressions. Based on our previous hijacking and transgression hypothesis, we aimed to investigate whether SARS-CoV-2 sequences associated with infectivity and trespassing of long noncoding RNAs (lncRNAs) provide a possible recombination mechanism to drive the formation of new variants. This work involved a sequence and structure-based approach to screen SARS-CoV-2 variants in silico, taking into account effects of glycosylation and links to known lncRNAs. Taken together, the findings suggest that transgressions involving lncRNAs may be linked with changes in SARS-CoV-2-host interactions driven by glycosylation events. |
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| Mesh-Begriff(e) | Humans ; SARS-CoV-2/genetics ; COVID-19/genetics ; RNA, Long Noncoding ; Recombination, Genetic |
| Chemische Substanzen | RNA, Long Noncoding |
| Sprache | Englisch |
| Erscheinungsdatum | 2023-06-28 |
| Erscheinungsland | United States |
| Dokumenttyp | Journal Article |
| ISSN | 2214-8019 ; 0065-2598 |
| ISSN (online) | 2214-8019 |
| ISSN | 0065-2598 |
| DOI | 10.1007/978-3-031-28012-2_14 |
| Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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