Back

E156G and Arg158, Phe-157/del mutation in NTD of spike protein in B.1.617.2 lineage of SARS-CoV-2 leads to immune evasion through antibody escape

Chaudhari, A.; Kumar, D.; Joshi, M.; Patel, A.; Joshi, C.

2021-06-21 systems biology
10.1101/2021.06.07.447321 bioRxiv
Show abstract

Emerging variants of SARS-CoV-2 with better immune escape mechanisms and higher transmissibility remains a persistent threat across the globe. B.1.617.2 (Delta) variant was first emerged from Maharashtra, India in December, 2020. This variant is classified to be a major cause and concern of the second wave of COVID-19 in India. In the present study, we explored the genomic and structural basis of this variant through computational analysis, protein modelling and molecular dynamics (MD) simulations approach. B.1.617.2 variant carried E156G and Arg158, Phe-157/del mutations in NTD of spike protein. These mutations in N-terminal domain (NTD) of spike protein of B.1.617.2 variant revealed more rigidity and reduced flexibility compared to spike protein of Wuhan isolate. Further, docking and MD simulation study with 4A8 monoclonal antibody which was reported to bind NTD of spike protein suggested reduced binding of B.1.617.2 spike protein compared to that of spike protein of Wuhan isolate. The results of the present study demonstrate the possible case of immune escape and thereby fitness advantage of the new variant and further warrants demonstration through experimental evidence. Our study identified the probable mechanism through which B.1.617.2 variant is more pathogenically evolved with higher transmissibility as compared to the wild-type. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=93 SRC="FIGDIR/small/447321v3_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@b92cborg.highwire.dtl.DTLVardef@1d261f7org.highwire.dtl.DTLVardef@11da73eorg.highwire.dtl.DTLVardef@1cef6ca_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Infection, Genetics and Evolution
43 papers in training set
Top 0.1%
28.8%
2
PLOS ONE
4510 papers in training set
Top 21%
8.5%
3
Journal of Biomolecular Structure and Dynamics
43 papers in training set
Top 0.1%
6.6%
4
Scientific Reports
3102 papers in training set
Top 32%
3.8%
5
Frontiers in Molecular Biosciences
100 papers in training set
Top 0.3%
3.7%
50% of probability mass above
6
International Journal of Molecular Sciences
453 papers in training set
Top 4%
2.5%
7
Archives of Clinical and Biomedical Research
28 papers in training set
Top 0.4%
2.2%
8
Biomolecules
95 papers in training set
Top 0.2%
2.2%
9
Frontiers in Medicine
113 papers in training set
Top 2%
2.2%
10
Computational and Structural Biotechnology Journal
216 papers in training set
Top 3%
2.2%
11
ACS Omega
90 papers in training set
Top 1%
2.0%
12
PeerJ
261 papers in training set
Top 8%
1.5%
13
Journal of Medical Virology
137 papers in training set
Top 2%
1.5%
14
Computers in Biology and Medicine
120 papers in training set
Top 3%
1.2%
15
International Journal of Biological Macromolecules
65 papers in training set
Top 2%
1.0%
16
Cellular and Molecular Bioengineering
21 papers in training set
Top 0.2%
1.0%
17
Virus Research
36 papers in training set
Top 0.9%
0.9%
18
F1000Research
79 papers in training set
Top 3%
0.9%
19
Protein Science
221 papers in training set
Top 1%
0.9%
20
Gene Reports
13 papers in training set
Top 0.6%
0.8%
21
Biochemistry and Biophysics Reports
28 papers in training set
Top 1%
0.8%
22
Virology
56 papers in training set
Top 0.6%
0.8%
23
Biology
43 papers in training set
Top 2%
0.8%
24
Genomics
60 papers in training set
Top 2%
0.8%
25
Journal of Translational Medicine
46 papers in training set
Top 2%
0.8%
26
Viruses
318 papers in training set
Top 5%
0.7%
27
Gigabyte
60 papers in training set
Top 1%
0.7%
28
BMC Ecology and Evolution
49 papers in training set
Top 2%
0.7%
29
Heliyon
146 papers in training set
Top 9%
0.5%
30
PLOS Pathogens
721 papers in training set
Top 10%
0.5%