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Wei Zhao

Publications -  13
Citations -  149

Wei Zhao is an academic researcher. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 5, co-authored 13 publications receiving 149 citations.

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Tracking SARS-CoV-2 Omicron diverse spike gene mutations identifies multiple inter-variant recombination events

TL;DR: In this article , the authors identified diverse recombination events between two Omicron major subvariants (BA.1 and BA.2) and other variants of concern (VOCs) and variants of interest (VOIs), suggesting that co-infection and subsequent genome recombination play important roles in the ongoing evolution of SARS-CoV-2.
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Development of a smartphone-based quantum dot lateral flow immunoassay strip for ultrasensitive detection of anti-SARS-CoV-2 IgG and neutralizing antibodies

TL;DR: In this paper , a quantum dot lateral flow immunoassay strip (QD-LFIA) was designed for smartphones for the detection of specific IgG or neutralizing antibodies in SARS-CoV-2 in human serum or whole blood samples.
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Molecular Typing and Rapid Identification of Human Adenoviruses Associated With Respiratory Diseases Using Universal PCR and Sequencing Primers for the Three Major Capsid Genes: Penton Base, Hexon, and Fiber

TL;DR: The developed method allows for the rapid identification of HAdV respiratory pathogens, including recombinants, and bypasses the need for whole genome sequencing for real-time surveillance of circulating adenovirus strains in outbreaks and populations by clinical virologists, public health officials, and epidemiologists.
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Severe Acute Respiratory Syndrome Coronavirus 2 ORF8 Protein Inhibits Type I Interferon Production by Targeting HSP90B1 Signaling

TL;DR: Results indicate that SARS-CoV-2 ORF8 antagonizes the RIG-I/MDA-5 signaling pathway by targeting HSP90B1, which subsequently exhibits an inhibitory effect on the production of IFN-I.
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High-specificity targets in SARS-CoV-2 N protein for serological detection and distinction from SARS-CoV

TL;DR: In this article , the authors performed a conservation and specificity analysis of the SARS-CoV-2 nucleocapsid (N) protein and integrated various B-cell epitope prediction methods to obtain possible dominant epitope regions for the N protein.