Back

The Potential for SARS-CoV-2 to Evade Both Natural and Vaccine-induced Immunity

Shang, E.; Axelsen, P.

2020-12-13 immunology
10.1101/2020.12.13.422567 bioRxiv
Show abstract

SARS-CoV-2 attaches to the surface of susceptible cells through extensive interactions between the receptor binding domain (RBD) of its spike protein and angiotensin converting enzyme type 2 (ACE2) anchored in cell membranes. To investigate whether naturally occurring mutations in the spike protein are able to prevent antibody binding, yet while maintaining the ability to bind ACE2 and viral infectivity, mutations in the spike protein identified in cases of human infection were mapped to the crystallographically-determined interfaces between the spike protein and ACE2 (PDB entry 6M0J), antibody CC12.1 (PDB entry 6XC2), and antibody P2B-2F6 (PDB entry 7BWJ). Both antibody binding interfaces partially overlap with the ACE2 binding interface. Among 16 mutations that map to the RBD:CC12.1 interface, 11 are likely to disrupt CC12.1 binding but not ACE2 binding. Among 12 mutations that map to the RBD:P2B-2F6 interface, 8 are likely to disrupt P2B-2F6 binding but not ACE2 binding. As expected, none of the mutations observed to date appear likely to disrupt the RBD:ACE2 interface. We conclude that SARS-CoV-2 with mutated forms of the spike protein may retain the ability to bind ACE2 while evading recognition by antibodies that arise in response to the original wild-type form of the spike protein. It seems likely that immune evasion will be possible regardless of whether the spike protein was encountered in the form of infectious virus, or as the immunogen in a vaccine. Therefore, it also seems likely that reinfection with a variant strain of SARS-CoV-2 may occur among people who recover from Covid-19, and that vaccines with the ability to generate antibodies against multiple variant forms of the spike protein will be necessary to protect against variant forms of SARS-CoV-2 that are already circulating in the human population.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Proteins: Structure, Function, and Bioinformatics
88 papers in training set
Top 0.1%
22.9%
2
PLOS ONE
5266 papers in training set
Top 15%
12.2%
3
Biochemical and Biophysical Research Communications
84 papers in training set
Top 0.1%
5.7%
4
Infection, Genetics and Evolution
42 papers in training set
Top 0.1%
4.4%
5
International Journal of Molecular Sciences
494 papers in training set
Top 2%
4.1%
6
Molecular Immunology
14 papers in training set
Top 0.1%
3.5%
50% of probability mass above
7
Biochemistry
148 papers in training set
Top 0.6%
3.5%
8
Journal of Biomolecular Structure and Dynamics
43 papers in training set
Top 0.5%
2.8%
9
Journal of Molecular Graphics and Modelling
17 papers in training set
Top 0.1%
2.7%
10
Journal of Biological Chemistry
690 papers in training set
Top 4%
2.5%
11
Journal of Medical Virology
140 papers in training set
Top 1%
2.4%
12
Scientific Reports
3612 papers in training set
Top 42%
2.4%
13
Journal of Molecular Biology
232 papers in training set
Top 2%
1.8%
14
Frontiers in Molecular Biosciences
102 papers in training set
Top 0.6%
1.8%
15
PLOS Computational Biology
1863 papers in training set
Top 15%
1.5%
16
Journal of Virology
499 papers in training set
Top 2%
1.5%
17
Frontiers in Virology
15 papers in training set
Top 0.1%
1.4%
18
ACS Omega
105 papers in training set
Top 2%
1.2%
19
Microbiology Spectrum
469 papers in training set
Top 8%
1.2%
20
Computational and Structural Biotechnology Journal
242 papers in training set
Top 5%
1.2%
21
Protein Science
246 papers in training set
Top 3%
1.0%
22
Viruses
332 papers in training set
Top 4%
1.0%
23
Frontiers in Cellular and Infection Microbiology
109 papers in training set
Top 3%
0.9%
24
BMC Molecular and Cell Biology
16 papers in training set
Top 0.2%
0.6%
25
Cellular Signalling
14 papers in training set
Top 0.4%
0.6%
26
iScience
1154 papers in training set
Top 38%
0.6%
27
eLife
5828 papers in training set
Top 68%
0.6%
28
Briefings in Bioinformatics
354 papers in training set
Top 7%
0.6%
29
Immunogenetics
11 papers in training set
Top 0.2%
0.6%
30
Biophysical Journal
631 papers in training set
Top 5%
0.6%