Chapter title |
Inferring Recombination Events in SARS-CoV-2 Variants In Silico.
|
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Chapter number | 14 |
Book title |
Application of Omic Techniques to Identify New Biomarkers and Drug Targets for COVID-19
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Published in |
Advances in experimental medicine and biology, June 2023
|
DOI | 10.1007/978-3-031-28012-2_14 |
Pubmed ID | |
Book ISBNs |
978-3-03-128011-5, 978-3-03-128012-2
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Authors |
Najeeb, Nihal, Murukan, Aparna B, Renjitha, Anagha, Jayaram, Malavika, Jabbar, Ayisha A, Haridasan, Haripriya, Prijikumar, Akshara, Baiju, Sneha, Nixon, Adrial Ann, Krishnan, Ponnambil Anantha, Rodriguez, Sunu, Kumar, Somesh, Polipalli, Sunil K, Singh, Keshav K, Nair, Bipin G, Ghate, Sudeep D, Rao, R Shyama Prasad, Kishor, Polavarapu Bilhan Kavi, Aloor, Arya, Suravajhala, Renuka, Chaubey, Gyaneshwer, Suravajhala, Prashanth, Murukan, Aparna B., Jabbar, Ayisha A., Polipalli, Sunil K., Singh, Keshav K., Nair, Bipin G., Ghate, Sudeep D., Rao, R. Shyama Prasad |
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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Biochemistry, Genetics and Molecular Biology | 1 | 50% |
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