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Synthetic proteins for COVID-19 diagnostics.
Schein, Catherine H; Levine, Corri B; McLellan, Susan L F; Negi, Surendra S; Braun, Werner; Dreskin, Stephen C; Anaya, Elizabeth S; Schmidt, Jurgen.
  • Schein CH; Department of Biochemistry and Molecular Biology, The University of Texas Medical Branch, Galveston, TX, United States; Institute for Human Infections and immunity (IHII), The University of Texas Medical Branch, Galveston, TX, United States. Electronic address: chschein@utmb.edu.
  • Levine CB; Institute for Translational Sciences, The University of Texas Medical Branch, Galveston, TX, United States.
  • McLellan SLF; Department of Internal medicine - Infectious Diseases, The University of Texas Medical Branch, Galveston, TX, United States.
  • Negi SS; Department of Biochemistry and Molecular Biology, The University of Texas Medical Branch, Galveston, TX, United States; Sealy Center for Structural Biology and Molecular Biophysics, The University of Texas Medical Branch, Galveston, TX, United States.
  • Braun W; Department of Biochemistry and Molecular Biology, The University of Texas Medical Branch, Galveston, TX, United States; Institute for Human Infections and immunity (IHII), The University of Texas Medical Branch, Galveston, TX, United States; Sealy Center for Structural Biology and Molecular Biophysi
  • Dreskin SC; Division of Allergy and Clinical Immunology, Department of Medicine, University of Colorado Denver, Aurora, CO, 80045, United States.
  • Anaya ES; B-11 Bioenergy and Biome Sciences, Bioscience Division Los Alamos National Laboratory, Los Alamos, NM, 87545, United States.
  • Schmidt J; B-11 Bioenergy and Biome Sciences, Bioscience Division Los Alamos National Laboratory, Los Alamos, NM, 87545, United States.
Peptides ; 143: 170583, 2021 09.
Article in English | MEDLINE | ID: covidwho-1258480
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
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ABSTRACT
There is an urgent need for inexpensive, rapid and specific antigen-based assays to test for vaccine efficacy and detect infection with SARS-CoV-2 and its variants. We have identified a small, synthetic protein (JS7), representing a region of maximum variability within the receptor binding domain (RBD), which binds antibodies in sera from nine patients with PCR-verified COVID-19 of varying severity. Antibodies binding to either JS7 or the SARS-CoV-2 recombinant RBD, as well as those that disrupt binding between a fragment of the ACE2 receptor and the RBD, are proportional to disease severity and clinical outcome. Binding to JS7 was inhibited by linear peptides from the RBD interface with ACE2. Variants of JS7, such as E484K or N501Y, can be quickly synthesized in pure form in large quantities by automated methods. JS7 and related synthetic antigens can provide a basis for specific diagnostics for SARS-CoV-2 infections.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Peptides / Spike Glycoprotein, Coronavirus / COVID-19 Serological Testing / SARS-CoV-2 / COVID-19 Type of study: Prognostic study Topics: Vaccines / Variants Limits: Humans Language: English Journal: Peptides Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Peptides / Spike Glycoprotein, Coronavirus / COVID-19 Serological Testing / SARS-CoV-2 / COVID-19 Type of study: Prognostic study Topics: Vaccines / Variants Limits: Humans Language: English Journal: Peptides Year: 2021 Document Type: Article