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Electrostatic features for nucleocapsid proteins of SARS-CoV and SARS-CoV-2
- Source :
- Mathematical biosciences and engineering : MBE, Mathematical Biosciences and Engineering, Vol 18, Iss 3, Pp 2372-2383 (2021)
- Publication Year :
- 2021
- Publisher :
- American Institute of Mathematical Sciences (AIMS), 2021.
-
Abstract
- COVID-19 is increasingly affecting human health and global economy. Understanding the fundamental mechanisms of Severe Acute Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2) is highly demanded to develop treatments for COVID-19. SARS-CoV and SARS-CoV-2 share 92.06% identity in their N protein RBDs' sequences, which results in very similar structures. However, the SARS-CoV-2 is more easily to spread. Utilizing multi-scale computational approaches, this work studied the fundamental mechanisms of the nucleocapsid (N) proteins of SARS-CoV and SARS-CoV-2, including their stabilities and binding strengths with RNAs at different pH values. Electrostatic potential on the surfaces of N proteins show that both the N proteins of SARS-CoV and SARS-CoV-2 have dominantly positive potential to attract RNAs. The binding forces between SARS-CoV N protein and RNAs at different distances are similar to that of SARS-CoV-2, both in directions and magnitudes. The electric filed lines between N proteins and RNAs are also similar for both SARS-CoV and SARS-CoV-2. The folding energy and binding energy dependence on pH revealed that the best environment for N proteins to perform their functions with RNAs is the weak acidic environment.
- Subjects :
- Coronavirus disease 2019 (COVID-19)
viruses
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Static Electricity
Binding energy
protein-protein interactions
02 engineering and technology
Article
Protein–protein interaction
Human health
0502 economics and business
Static electricity
QA1-939
0202 electrical engineering, electronic engineering, information engineering
Humans
protein-RNA/DNA interactions
skin and connective tissue diseases
Nucleocapsid Proteins
SARS-CoV-2
Chemistry
Applied Mathematics
fungi
05 social sciences
COVID-19
virus diseases
SARS-CoV
General Medicine
DelPhi
body regions
Folding (chemistry)
Computational Mathematics
DelPhiForce
Modeling and Simulation
Biophysics
020201 artificial intelligence & image processing
electrostatic force
General Agricultural and Biological Sciences
TP248.13-248.65
Mathematics
050203 business & management
Biotechnology
Subjects
Details
- ISSN :
- 15510018
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- Mathematical Biosciences and Engineering
- Accession number :
- edsair.doi.dedup.....a598d7e429754a31351346a8a34d085d
- Full Text :
- https://doi.org/10.3934/mbe.2021120