tetano
Editor, Senior Moderator
Sci Rep
. 2021 Nov 5;11(1):21768.
doi: 10.1038/s41598-021-01225-2.
A high-throughput pipeline for design and selection of peptides targeting the SARS-Cov-2 Spike protein
Monica Wolfe[SUP] 1 2 [/SUP], Sean Webb[SUP] 1 2 [/SUP], Yaroslav Chushak[SUP] 1 3 [/SUP], Rachel Krabacher[SUP] 1 4 [/SUP], Yi Liu[SUP] 5 [/SUP], Nathan Swami[SUP] 5 [/SUP], Svetlana Harbaugh[SUP] 1 [/SUP], Jorge Chávez[SUP] 6 [/SUP]
Affiliations
Abstract
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.
. 2021 Nov 5;11(1):21768.
doi: 10.1038/s41598-021-01225-2.
A high-throughput pipeline for design and selection of peptides targeting the SARS-Cov-2 Spike protein
Monica Wolfe[SUP] 1 2 [/SUP], Sean Webb[SUP] 1 2 [/SUP], Yaroslav Chushak[SUP] 1 3 [/SUP], Rachel Krabacher[SUP] 1 4 [/SUP], Yi Liu[SUP] 5 [/SUP], Nathan Swami[SUP] 5 [/SUP], Svetlana Harbaugh[SUP] 1 [/SUP], Jorge Chávez[SUP] 6 [/SUP]
Affiliations
- PMID: 34741099
- DOI: 10.1038/s41598-021-01225-2
Abstract
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.