Back

Comparative studies of the seven human coronavirus envelope proteins using topology prediction and molecular modelling to understand their pathogenicity

Schoeman, D.; Cloete, R.; Fielding, B.

2021-03-08 bioinformatics
10.1101/2021.03.08.434384 bioRxiv
Show abstract

Human (h) coronaviruses (CoVs) 229E, NL63, OC43, and HKU1 are less virulent and cause mild, self-limiting respiratory tract infections, while SARS-CoV, MERS-CoV, and SARS-CoV-2, are more virulent and have caused severe outbreaks. The CoV envelope (E) protein, an important contributor to the pathogenesis of severe hCoVs infections, may provide insight into this disparate severity of the disease. Topology prediction programs and 3D modelling software was used to predict and visualize structural aspects of the hCoV E protein related to its functions. All seven hCoV E proteins largely adopted different topologies, with some distinction between the more virulent and less virulent ones. The 3D models refined this distinction, showing the PDZ-binding motif (PBM) of SARS-CoV, MERS-CoV, and SARS-CoV-2 to be more flexible than the PBM of hCoVs 229E, NL63, OC43, and HKU1. We speculate that the increased flexibility of the PBM may provide the more virulent hCoVs with a greater degree of freedom, which can allow them to bind to different host proteins and can contribute to a more severe form of the disease. This is the first paper to predict the topologies and model 3D structures of all seven hCoVs E proteins, providing novel insights for possible drug and/or vaccine development.

Matching journals

The top 12 journals account for 50% of the predicted probability mass.

1
PLOS ONE
4510 papers in training set
Top 24%
7.0%
2
Journal of Medical Virology
137 papers in training set
Top 0.3%
6.5%
3
Frontiers in Genetics
197 papers in training set
Top 1%
5.0%
4
Virologica Sinica
10 papers in training set
Top 0.1%
5.0%
5
Scientific Reports
3102 papers in training set
Top 30%
4.1%
6
Journal of Virology
456 papers in training set
Top 1%
3.8%
7
PeerJ
261 papers in training set
Top 2%
3.7%
8
Frontiers in Microbiology
375 papers in training set
Top 2%
3.7%
9
Virus Research
36 papers in training set
Top 0.2%
3.7%
10
Viruses
318 papers in training set
Top 2%
3.0%
11
PLOS Computational Biology
1633 papers in training set
Top 12%
2.7%
12
Computers in Biology and Medicine
120 papers in training set
Top 1%
2.7%
50% of probability mass above
13
Biochemical and Biophysical Research Communications
78 papers in training set
Top 0.2%
2.4%
14
Transboundary and Emerging Diseases
34 papers in training set
Top 0.3%
1.9%
15
Pathogens
53 papers in training set
Top 0.5%
1.7%
16
Gene Reports
13 papers in training set
Top 0.3%
1.5%
17
Frontiers in Molecular Biosciences
100 papers in training set
Top 2%
1.4%
18
Computational and Structural Biotechnology Journal
216 papers in training set
Top 7%
1.0%
19
Virology
56 papers in training set
Top 0.6%
0.9%
20
International Journal of Molecular Sciences
453 papers in training set
Top 12%
0.9%
21
Journal of Structural Biology
58 papers in training set
Top 1%
0.9%
22
F1000Research
79 papers in training set
Top 3%
0.9%
23
Journal of Proteome Research
215 papers in training set
Top 2%
0.9%
24
Archives of Clinical and Biomedical Research
28 papers in training set
Top 2%
0.9%
25
iScience
1063 papers in training set
Top 28%
0.8%
26
Frontiers in Medicine
113 papers in training set
Top 6%
0.8%
27
Journal of Clinical Medicine
91 papers in training set
Top 6%
0.8%
28
mSphere
281 papers in training set
Top 5%
0.8%
29
BMC Molecular and Cell Biology
14 papers in training set
Top 0.1%
0.8%
30
Infection, Genetics and Evolution
43 papers in training set
Top 0.8%
0.8%