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Peptide microarray analysis of in-silico predicted B-cell epitopes in SARS-CoV-2 sero-positive healthcare workers in Bulawayo, Zimbabwe

Peptide microarray analysis of in-silico predicted B-cell epitopes in SARS-CoV-2 sero-positive healthcare workers in Bulawayo, Zimbabwe

Immunogenic peptides that mimic linear B-cell epitopes coupled with immunoassay validation may improve serological tests for emerging diseases. This study reports a general approach for profiling linear B-cell epitopes derived from SARS-CoV-2 using an in-silico method and peptide microarray immunoas...

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Bibliographic Details
Main Authors: Arthur Vengesai, Thajasvarie Naicker, Herald Midzi, Maritha Kasambala, Victor Muleya , Isaac Chipako, Emilia Choto , Praise Moyo , Takafira Mduluza
Other Authors: Department of Biochemistry, Faculty of Medicine and Health Sciences, Midlands State University, Senga Road, Gweru, Zimbabwe. Electronic address: arthurvengesai@gmail.com.
Format: research article
Language:English
Published: Elsevier 2022
Subjects:
B-cell epitopes
SARS-CoV-2
epitope prediction
peptide microarrays
serological tests
Online Access:https://cris.library.msu.ac.zw//handle/11408/5288
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