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1.
preprints.org; 2020.
Preprint in English | PREPRINT-PREPRINTS.ORG | ID: ppzbmed-10.20944.preprints202006.0184.v1

ABSTRACT

Spike protein is the surface glycoprotein of the severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) necessary for the entry of the virus via the transmembrane receptors of the human endothelial cells of the respiratoty system for the virus to be engulfed causing COVID-19 disease after priming by type II transmembrane protease TMPRSS2 and then binding with the angiotensin-converting enzyme 2 (ACE2). Therefore, mutations and amino acid variants analysis are essential in understanding the mechanism of binding of spike protein with its receptor to have an insights on possibilities to design a peptide or nucleotide-based vaccine for COVID-19. Here, we employed Iterative Threading Assembly Refinement (I-TASSER) and Multiple Alignment using Fast Fourier Transform (MAFFT) to predict the three-dimensional monomer structure of spike protein of SARS-CoV-2 and to analyze the amino acid variants for protein sequences from GISAID database for samples collected from Jordan in a try to find an explanation for the low confirmed number of COVID-19 in Jordan. Our Protein Homology/analogY Recognition Engine V 2.0 (Phyre2) findings showed four single amino acid variants (SAV) found in 20 samples of SARS-CoV-2. What is equal to 5% of samples showed tyrosine deletion at Y144 located in the SARS-CoV-like_Spike_S1_NTD (N terminal domain), 62% showed aspartate substitution to glycine at D614G located in the SARS-CoV-2_Spike_S1_RBD (spike recognition binding site), 5% showed aspartate substitution to tyrosine at D1139Y and 5% showed glycine substitution to serine at G1167S both located in the Corona_S2 domain. The findings have shown lower mutational sensitivity in all variants that might not affect the function of spike glycoprotein except for D614G, which has the highest mutational sensitivity score (5 out of 9) indicating a higher likelihood to affect the function of the spike protein. This might suggest, in general, a reduced transmitability of SARS-CoV-2 in Jordan.


Subject(s)
Coronavirus Infections , COVID-19 , Amino Acid Metabolism, Inborn Errors
2.
researchsquare; 2020.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-33156.v1

ABSTRACT

Spike protein (approx. 180 kDa) is the surface glycoprotein of the severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) necessary for the interaction of the virus with human endothelial cell receptors on the cell membrane to be engulfed causing COVID-19 disease after binding with the angiotensin-converting enzyme 2 (ACE2) with an evident activation by type II transmembrane protease TMPRSS2 . Therefore, mutations and amino acid variants analysis are essential in characterizing the mechanism of binding of spike protein with its receptor, which totally gives insights on possibilities to design a peptide or nucleotide-based vaccine for COVID-19. Here, we employed Iterative Threading Assembly Refinement (I-TASSER) and Multiple Alignment using Fast Fourier Transform (MAFFT) to predict the three-dimensional structure and to analyze the amino acid variants for spike protein sequences of SARS-CoV-2 from GISAID database of samples collected from Jordan to try to find a justification for low number of confirmed COVID-19 in Jordan, Middle East. Our findings showed the molecules structurally close to the spike glycoprotein from the Enzyme Commission (EC) numbers and active sites included Isoleucyl-tRNA synthetase, Crystal structure of the tricorn protease (hydrolase); Crystal structure of the T. Thermophilus RNA polymerase holoenzyme (transferase); Crystal structure of the complex between pyruvate-ferredoxin oxidoreductase from Desulfovibrio africanus and pyruvate (oxidoreductase); and Reovirus core (virus). Our MAFFT findings showed that Four Amino Acid Variants (SAV) founded in 20 samples of SARS-CoV-2 were not conserved residues in spike glycoprotein. What is equal to 5% of samples showed tyrosine (polar) deletion at Y144 , 62% of samples showed aspartate (polar, acidic) substitution to glycine (nonpolar) at D614G, 5% of samples showed aspartate (polar, acidic) substitution to tyrosine (polar) at D1139Y and 5% of samples showed glycine (nonpolar) substitution to serine (polar) at G1167S respectively. By using Phyre2, our findings have shown lower sensitive mutational that cannot affect the pocket region or alpha and beta-sheet in all mutations except for D614G, which has the highest mutational sensitivity score (5 out of 9) indicating a bigger effect on the function of spike protein. This might suggest, in general, a reduced transmitability of SARS-CoV-2 in Jordan, Middle East. As the crystal structure of spike protein is not revealed yet, it was not possible to compare the predicted modes versus each other.


Subject(s)
Coronavirus Infections , COVID-19
3.
researchsquare; 2020.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-28866.v1

ABSTRACT

Initial epidemiological studies inform the central COVID-19 disease prophet. Some papers have been studying miRNA and viral RNA interaction target predictions over the past few years. In this work, via the miRDB database, we determined the target scores of predicted miRNA to bind with the ss-RNA of SARS-CoV-2 in general and spike gene in specific. Our predicted miRNA targets of the ss-RNA of SARS-CoV-2 might destabilize and hence inhibit the ss-RNA translation of SARS-CoV-2 and prevent viral replication that has been established by more than 80% of asymptomatic infected cases in Jordan due to host miRNA interactions. In respiratory epithelial cells, the high scoring miRNAs prediction covers the RNA from 5' to 3' that explain successful antiviral defenses against ss-RNA of SARS-CoV-2 and lead to new nucleotide deletion mechanisms. The exciting finding here that the substitution 1841A>G at the viral genomic RNA level or the D614G at spike protein level showed a change in the predicted miRNA sequence and an increase in the target score (from 91 to 92) (hsa-miR-4793-5p to hsa-miR-3620-3p).


Subject(s)
COVID-19
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