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Article

In Silico Prediction and Selection of Target Sequences in the SARS-CoV-2 RNA Genome for an Antiviral Attack

by
Mouraya Hussein
,
Zaria Andrade dos Ramos
,
Ben Berkhout
* and
Elena Herrera-Carrillo
*
Laboratory of Experimental Virology, Department of Medical Microbiology, Amsterdam University Medical Centers, Academic Medical Center, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
*
Authors to whom correspondence should be addressed.
Viruses 2022, 14(2), 385; https://doi.org/10.3390/v14020385
Submission received: 11 January 2022 / Revised: 7 February 2022 / Accepted: 8 February 2022 / Published: 14 February 2022
(This article belongs to the Special Issue CRISPR/Cas in Viral Research)

Abstract

The SARS-CoV-2 pandemic has urged the development of protective vaccines and the search for specific antiviral drugs. The modern molecular biology tools provides alternative methods, such as CRISPR-Cas and RNA interference, that can be adapted as antiviral approaches, and contribute to this search. The unique CRISPR-Cas13d system, with the small crRNA guide molecule, mediates a sequence-specific attack on RNA, and can be developed as an anti-coronavirus strategy. We analyzed the SARS-CoV-2 genome to localize the hypothetically best crRNA-annealing sites of 23 nucleotides based on our extensive expertise with sequence-specific antiviral strategies. We considered target sites of which the sequence is well-conserved among SARS-CoV-2 isolates. As we should prepare for a potential future outbreak of related viruses, we screened for targets that are conserved between SARS-CoV-2 and SARS-CoV. To further broaden the search, we screened for targets that are conserved between SARS-CoV-2 and the more distantly related MERS-CoV, as well as the four other human coronaviruses (OC43, 229E, NL63, HKU1). Finally, we performed a search for pan-corona target sequences that are conserved among all these coronaviruses, including the new Omicron variant, that are able to replicate in humans. This survey may contribute to the design of effective, safe, and escape-proof antiviral strategies to prepare for future pandemics.
Keywords: COVID-19; SARS-CoV-2 genome; CRISPR-Cas13d COVID-19; SARS-CoV-2 genome; CRISPR-Cas13d

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MDPI and ACS Style

Hussein, M.; Andrade dos Ramos, Z.; Berkhout, B.; Herrera-Carrillo, E. In Silico Prediction and Selection of Target Sequences in the SARS-CoV-2 RNA Genome for an Antiviral Attack. Viruses 2022, 14, 385. https://doi.org/10.3390/v14020385

AMA Style

Hussein M, Andrade dos Ramos Z, Berkhout B, Herrera-Carrillo E. In Silico Prediction and Selection of Target Sequences in the SARS-CoV-2 RNA Genome for an Antiviral Attack. Viruses. 2022; 14(2):385. https://doi.org/10.3390/v14020385

Chicago/Turabian Style

Hussein, Mouraya, Zaria Andrade dos Ramos, Ben Berkhout, and Elena Herrera-Carrillo. 2022. "In Silico Prediction and Selection of Target Sequences in the SARS-CoV-2 RNA Genome for an Antiviral Attack" Viruses 14, no. 2: 385. https://doi.org/10.3390/v14020385

APA Style

Hussein, M., Andrade dos Ramos, Z., Berkhout, B., & Herrera-Carrillo, E. (2022). In Silico Prediction and Selection of Target Sequences in the SARS-CoV-2 RNA Genome for an Antiviral Attack. Viruses, 14(2), 385. https://doi.org/10.3390/v14020385

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