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Objectives: To computationally design CRISPR target-based Single-guided RNA (sg RNA) for the development of a diagnostic method for SARS-CoV-2 Methods: In the present study, Cas12 nuclease-specific protospacer adjacent motif (PAM) and downstream target sequences were identified from conserved regions of the SARS-CoV-2 spike glycoprotein S-gene receptor-binding domain (RBD) using CHOPCHOP and NEB computational tools to design sgRNA Further, the in silico expression vector was constructed using SnapGene software Results: The 20-nucleotide sequence 5'-ACCATACAGAGTAGTAGTAC-3' showed 100% similarity with SARS-CoV-2 was selected Target-specific oligonucleotide sgRNA template was generated with the addition of an extra nucleotide 'G' to the 5' end using NEBiocaluculator Conclusion: The findings of this study will help designing a CRISPR-based diagnostic kit for the detection of SARSCoV-2 However, computationally designed sgRNA requires to be tested in vitro to demonstrate its potential and efficiency in detecting this novel coronavirus

Design of CRISPR-Based Targets for the Development of a Diagnostic Method for SARS-CoV-2: An in Silico Approach