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. 2021 May 13;11(1):10220.
doi: 10.1038/s41598-021-89621-6.

Exploring antibody repurposing for COVID-19: beyond presumed roles of therapeutic antibodies

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Exploring antibody repurposing for COVID-19: beyond presumed roles of therapeutic antibodies

Puneet Rawat et al. Sci Rep. .

Abstract

The urgent need for a treatment of COVID-19 has left researchers with limited choice of either developing an effective vaccine or identifying approved/investigational drugs developed for other medical conditions for potential repurposing, thus bypassing long clinical trials. In this work, we compared the sequences of experimentally verified SARS-CoV-2 neutralizing antibodies and sequentially/structurally similar commercialized therapeutic monoclonal antibodies. We have identified three therapeutic antibodies, Tremelimumab, Ipilimumab and Afasevikumab. Interestingly, these antibodies target CTLA4 and IL17A, levels of which have been shown to be elevated during severe SARS-CoV-2 infection. The candidate antibodies were evaluated further for epitope restriction, interaction energy and interaction surface to gauge their repurposability to tackle SARS-CoV-2 infection. Our work provides candidate antibody scaffolds with dual activities of plausible viral neutralization and immunosuppression. Further, these candidate antibodies can also be explored in diagnostic test kits for SARS-CoV-2 infection. We opine that this in silico workflow to screen and analyze antibodies for repurposing would have widespread applications.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Workflow illustrating the steps followed to screen therapeutic antibodies for potential repurposing against SARS-CoV-2.
Figure 2
Figure 2
Docked conformation of the SARS-CoV-2 neutralizing antibody (top) and therapeutic antibody (bottom) (light chain: violet; heavy chain: cyan) with spike protein (green) for the pairs (a) C002 and Tremelimumab (b) COV2-2015 and Afasevikumab (c) COVA2-29 and Tremelimumab, and (d) HbnC3t1p1_G4 and Ipilimumab. The figures are generated using PyMOL 2.4 (https://pymol.org/2/).

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