Identification of an anti-SARS-CoV-2 receptor-binding domain-directed human monoclonal antibody from a naive semisynthetic library
Authors: Hilal Ahmad Parray Adarsh Kumar Chiranjivi Shailendra Asthana Naveen Yadav Tripti Shrivastava Shailendra Mani Chandresh Sharma Preeti Vishwakarma Supratik Das Kamal Pindari Subrata Sinha Sweety Samal Shubbir Ahmed Rajesh Kumar Published on:
2020
Publication:
Journal of Biological Chemistry DOI:-
There is a desperate need for safe and effective vaccines, therapies, and diagnostics for SARS- coronavirus 2 (CoV-2), the development of which will be aided by the discovery of potent and selective antibodies against relevant viral epitopes Human phage display technology has revolutionized the process of identifying and optimizing antibodies, providing facile entry points for further applications Herein, we use this technology to search for antibodies targeting the receptor-binding domain (RBD) of CoV-2 Specifically, we screened a naive human semisynthetic phage library against RBD, leading to the identification of a high-affinity single-chain fragment variable region (scFv) The scFv was further engineered into two other antibody formats (scFv-Fc and IgG1) All three antibody formats showed high binding specificity to CoV-2 RBD and the spike antigens in different assay systems Flow cytometry analysis demonstrated specific binding of the IgG1 format to cells expressing membrane-bound CoV-2 spike protein Docking studies revealed that the scFv recognizes an epitope that partially overlaps with angiotensin-converting enzyme 2 (ACE2)-interacting sites on the CoV-2 RBD Given its high specificity and affinity, we anticipate that these anti-CoV-2 antibodies will be useful as valuable reagents for accessing the antigenicity of vaccine candidates, as well as developing antibody-based therapeutics and diagnostics for CoV-2
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Journal Article
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WHO: 42j93q8i
issn_isbn:
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article_id: 564102
More Info | #564102: Identification of an anti-SARS-CoV-2 receptor-binding domain-directed human monoclonal antibody from a naive semisynthetic library
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