Your browser doesn't support javascript.
Prediction of putative potential siRNAs for inhibiting SARS-CoV-2 strains, including variants of concern and interest.
Saba, Abdullah Al; Adiba, Maisha; Chakraborty, Sajib; Nabi, Ahm Nurun.
  • Saba AA; Department of Biochemistry and Molecular Biology, Laboratory of Population Genetics, University of Dhaka, Dhaka, 1000, Bangladesh.
  • Adiba M; Department of Biochemistry and Molecular Biology, Laboratory of Population Genetics, University of Dhaka, Dhaka, 1000, Bangladesh.
  • Chakraborty S; Department of Biochemistry and Molecular Biology, Systems Cell-Signalling Laboratory, University of Dhaka, Dhaka, 1000, Bangladesh.
  • Nabi AN; Department of Biochemistry and Molecular Biology, Laboratory of Population Genetics, University of Dhaka, Dhaka, 1000, Bangladesh.
Future Microbiol ; 17: 449-463, 2022 04.
Article in English | MEDLINE | ID: covidwho-1742149
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.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Prognostic study Topics: Variants Limits: Humans Language: English Journal: Future Microbiol Journal subject: Microbiology Year: 2022 Document Type: Article Affiliation country: Fmb-2021-0130

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Prognostic study Topics: Variants Limits: Humans Language: English Journal: Future Microbiol Journal subject: Microbiology Year: 2022 Document Type: Article Affiliation country: Fmb-2021-0130