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 language | English |
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Pages (from-to) | 1-30 |
Number of pages | 30 |
Journal | Annual Review of Biophysics |
Volume | 50 |
DOIs | |
State | Published - May 6 2021 |
Bibliographical note
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