Bioinformatic prediction of immunodominant regions in spike protein for early diagnosis of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)

Bioinformatic prediction of immunodominant regions in spike protein for early diagnosis of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)

Background To contain the pandemics caused by SARS-CoV-2, early detection approaches with high accuracy and accessibility are critical. Generating an antigen-capture based detection system would be an ideal strategy complementing the current methods based on nucleic acids and antibody detection. The...

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Bibliographic Details
Main Authors: Siqi Zhuang, Lingli Tang, Yufeng Dai, Xiaojing Feng, Yiyuan Fang, Haoneng Tang, Ping Jiang, Xiang Wu, Hezhi Fang, Hongzhi Chen
Format: Article
Language:English
Published: PeerJ Inc. 2021-04-01
Series:PeerJ
Subjects:
SARS-CoV-2
Spike protein
Antigen-capture
Immunodominant fragments
COVID-19
Online Access:https://peerj.com/articles/11232.pdf

Internet

https://peerj.com/articles/11232.pdf

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