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[Preprint]. 2020 Jun 18:arXiv:2006.10584v1. [Version 1]

Review of COVID-19 Antibody Therapies

Jiahui Chen, Kaifu Gao, Rui Wang, Duc Duy Nguyen, Guo-Wei Wei
PMCID: PMC7316097  PMID: 32601601

Abstract

Under the global health emergency caused by coronavirus disease 2019 (COVID-19), efficient and specific therapies are urgently needed. Compared with traditional small-molecular drugs, antibody therapies are relatively easy to develop and as specific as vaccines in targeting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and thus attract much attention in the past few months. This work reviews seven existing antibodies for SARS-CoV-2 spike (S) protein with three-dimensional (3D) structures deposited in the Protein Data Bank. Five antibody structures associated with SARS-CoV are evaluated for their potential in neutralizing SARS-CoV-2. The interactions of these antibodies with the S protein receptor-binding domain (RBD) are compared with those of angiotensin-converting enzyme 2 (ACE2) and RBD complexes. Due to the orders of magnitude in the discrepancies of experimental binding affinities, we introduce topological data analysis (TDA), a variety of network models, and deep learning to analyze the binding strength and therapeutic potential of the aforementioned fourteen antibody-antigen complexes. The current COVID-19 antibody clinical trials, which are not limited to the S protein target, are also reviewed.

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The license terms selected by the author(s) for this preprint version do not permit archiving in PMC. The full text is available from the preprint server.

30 pages, 10 figures, 5 tables


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