In silico detection of SARS-CoV-2 specific B-cell epitopes and validation in ELISA for serological diagnosis of COVID-19
| Autor: | Nina Isoherranen, Anna Wald, David Veesler, Keith R. Jerome, Lauren Carter, David M. Koelle, Deleah Pettie, Lance Stewart, Wesley C. Van Voorhis, Helen Y. Chu, Bart Staker, Neil P. King, Whitney E. Harrington, Isabelle Q. Phan, Justin K. Craig, Michael E. P. Murphy, Alexander L. Greninger, Logan Tillery, David D. Kim, Peter J. Myler, Ivan Anishchenko, Lynn K. Barrett, Sandhya Subramanian, Roger Shek, Jim Boonyaratanakornkit |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
Science In silico Enzyme-Linked Immunosorbent Assay Biology Signal-To-Noise Ratio Real-Time Polymerase Chain Reaction Epitope Article law.invention Serology 03 medical and health sciences 0302 clinical medicine Antigen law Humans Pathogen Multidisciplinary SARS-CoV-2 COVID-19 Protein sequence analyses Virology Nucleoprotein 030104 developmental biology Real-time polymerase chain reaction Viral infection Recombinant DNA Medicine Epitopes B-Lymphocyte Structural biology 030217 neurology & neurosurgery |
| Zdroj: | Scientific Reports Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021) |
| ISSN: | 2045-2322 |
| Popis: | Rapid generation of diagnostics is paramount to understand epidemiology and to control the spread of emerging infectious diseases such as COVID-19. Computational methods to predict serodiagnostic epitopes that are specific for the pathogen could help accelerate the development of new diagnostics. A systematic survey of 27 SARS-CoV-2 proteins was conducted to assess whether existing B-cell epitope prediction methods, combined with comprehensive mining of sequence databases and structural data, could predict whether a particular protein would be suitable for serodiagnosis. Nine of the predictions were validated with recombinant SARS-CoV-2 proteins in the ELISA format using plasma and sera from patients with SARS-CoV-2 infection, and a further 11 predictions were compared to the recent literature. Results appeared to be in agreement with 12 of the predictions, in disagreement with 3, while a further 5 were deemed inconclusive. We showed that two of our top five candidates, the N-terminal fragment of the nucleoprotein and the receptor-binding domain of the spike protein, have the highest sensitivity and specificity and signal-to-noise ratio for detecting COVID-19 sera/plasma by ELISA. Mixing the two antigens together for coating ELISA plates led to a sensitivity of 94% (N = 80 samples from persons with RT-PCR confirmed SARS-CoV-2 infection), and a specificity of 97.2% (N = 106 control samples). |
| Databáze: | OpenAIRE |
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