Review of COVID-19 Antibody Therapies

Jiahui Chen, Kaifu Gao, Rui Wang, Duc Duy Nguyen, Guo Wei Wei

Research output: Contribution to journalReview articlepeer-review

17 Scopus citations

Abstract

In 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; they are as specific as vaccines in targeting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); and they have thus attracted much attention in the past few months. This article reviews seven existing antibodies for neutralizing SARS-CoV-2 with 3D structures deposited in the Protein Data Bank (PDB). Five 3D antibody structures associated with the SARS-CoV spike (S) protein are also 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 between angiotensin-converting enzyme 2 and RBD complexes. Due to the orders of magnitude in the discrepancies of experimental binding affinities, we introduce topological data analysis, a variety of network models, and deep learning to analyze the binding strength and therapeutic potential of the 14 antibody-antigen complexes. The current COVID-19 antibody clinical trials, which are not limited to the S protein target, are also reviewed.

Original languageEnglish
Pages (from-to)1-30
Number of pages30
JournalAnnual Review of Biophysics
Volume50
DOIs
StatePublished - May 6 2021

Bibliographical note

Funding Information:
This work was supported in part by National Institutes of Health grant GM126189; National Science Foundation grants DMS-1721024, DMS-1761320, and IIS1900473; theMichigan Economic Development Corporation; George Mason University award PD45722; Bristol-Myers Squibb; and Pfizer. The authors thank the IBM TJWatson Research Center, the COVID-19 High Performance Computing Consortium,NVIDIA, and the Michigan State University High Performance Computing Center for computational assistance.

Publisher Copyright:
Copyright © 2021 by Annual Reviews. All rights reserved.

Keywords

  • COVID-19
  • SARS-CoV-2
  • antibody therapy
  • binding affinity
  • deep learning
  • network analysis
  • persistent homology

ASJC Scopus subject areas

  • Biophysics
  • Structural Biology
  • Bioengineering
  • Biochemistry
  • Cell Biology

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