Rapid design, screening, and characterization of biorecognition elements (BREs) is essential for the development of diagnostic tests and antiviral therapeutics needed to combat the spread of viruses such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). To address this need, we developed a high-throughput pipeline combining in silico design of a peptide library specific for SARS-CoV-2 spike (S) protein and microarray screening to identify binding sequences. Our optimized microarray platform allowed the simultaneous screening of ~ 2.5 k peptides and rapid identification of binding sequences resulting in selection of four peptides with nanomolar affinity to the SARS-CoV-2 S protein. Finally, we demonstrated the successful integration of one of the top peptides into an electrochemical sensor with a clinically relevant limit of detection for S protein in spiked saliva. Our results demonstrate the utility of this novel pipeline for the selection of peptide BREs in response to the SARS-CoV-2 pandemic, and the broader application of such a platform in response to future viral threats.
【저자키워드】 Diagnosis, Assay systems, 【초록키워드】 viruses, SARS-CoV-2, Saliva, coronavirus, pandemic, S protein, SARS-CoV-2 pandemic, diagnostic test, peptide, in silico, severe acute respiratory syndrome Coronavirus, virus, Spread, Protein, Viral, diagnostic tests, limit of detection, peptides, Microarray, Rapid, antiviral therapeutics, respiratory, utility, platform, binding, SARS-CoV-2 spike, SARS-CoV-2 S protein, characterization, acute respiratory syndrome, Threats, acute respiratory syndrome coronavirus, acute respiratory syndrome coronavirus 2, sequence, nanomolar affinity, element, BREs, resulting, identify, clinically, demonstrated, the SARS-CoV-2, 【제목키워드】 spike, Protein,