Prediction of putative potential siRNAs for inhibiting SARS-CoV-2 strains, including variants of concern and interest

Author:

Saba Abdullah Al1ORCID,Adiba Maisha1ORCID,Chakraborty Sajib2ORCID,Nabi AHM Nurun1ORCID

Affiliation:

1. Department of Biochemistry and Molecular Biology, Laboratory of Population Genetics, University of Dhaka, Dhaka, 1000, Bangladesh

2. Department of Biochemistry and Molecular Biology, Systems Cell-Signalling Laboratory, University of Dhaka, Dhaka, 1000, Bangladesh

Abstract

Aim: To predict siRNAs as a therapeutic intervention for highly infectious new variants of SARS-CoV-2. Methods: Conserved coding sequence regions of 11 SARS-CoV-2 proteins were used to construct siRNAs through sampling of metadata comprising 214,256 sequences. Results: Predicted siRNAs S1: 5′-UCAUUGAGAAAUGUUUACGCA-3′ and S2: 5′-AAAGACAUCAGCAUACUCCUG-3′ against RdRp of SARS-CoV-2 satisfied all the stringent filtering processes and showed good binding characteristics. The designed siRNAs are expected to inhibit viral replication and transcription of various coronavirus strains encompassing variants of concern and interest. Conclusion: The predicted siRNAs are expected to be potent against SARS-CoV-2, and following in vitro and in vivo validations may be considered as potential therapeutic measures.

Funder

Information and Communication Technology Division Under the Ministry of Posts, Telecommunications and Information Technology, Government of the People's Republic of Bangladesh

Publisher

Future Medicine Ltd

Subject

Microbiology (medical),Microbiology

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