SARS-CoV-2 Omicron BA.2.75 variant may be much more infective than preexisting variants
Sugano, A.; Takaoka, Y.; Kataguchi, H.; Kumaoka, M.; Ohta, M.; Kimura, S.; Araki, M.; Morinaga, Y.; Yamamoto, Y.
Show abstract
ObjectivesIn our previous research, we developed a mathematical model via molecular simulation analysis to predict the infectivity of seven SARS-CoV-2 variants. In this report, we aimed to predict the relative risk of the recent new variants of SARS-CoV-2 as based on our previous research. MethodsWe subjected Omicron BA.4/5 and BA.2.75 variants of SARS-CoV-2 to the analysis to determine the absolute evolutionary distance of the spike protein gene (S gene) of the variants from the Wuhan variant so as to appreciate the changes in the spike protein. We performed the molecular docking simulation analyses of the spike proteins with human angiotensin-converting enzyme 2 (ACE2) to understand the docking affinities of these variants. We then compared the evolutionary distances and the docking affinities of these variants with those of the seven variants that we had analyzed in our previous research. ResultsThe evolutionary distances of the S gene in BA.4/5 and BA.2.75 from the Wuhan variant were longer than those of the other variants. BA.2.75 had the highest docking affinity of the spike protein with ACE2 (ratio per Wuhan variant). ConclusionThe important results from this analysis are the following: BA.2.75 has both the highest docking affinity and the longest evolutionary distance of the S gene. These results suggest that BA.2.75 infection can spread farther than can infections of preexisting variants.
Matching journals
The top 11 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- An in-silico study of the mutation-associated effects on the spike protein of SARS-CoV-2, Omicron variant 96%
- Analysis the molecular similarity of least common amino acid sites in ACE2 receptor to predict the potential susceptible species for SARS-CoV-2 95%
- Treatment Profiles And Clinical Outcomes Of COVID-19 Patients At Private Hospital In Jakarta 95%
Similar papers in this journal
- An Issue of Concern: Unique Truncated ORF8 Protein Variants of SARS-CoV-2 96%
- Identification of novel mutations in RNA-dependent RNA polymerases of SARS-CoV-2 and their implications on its protein structure 95%
- Prediction of antiviral drugs against African Swine Fever Viruses based on protein-protein interaction analysis 93%
Similar papers in this journal
- Insights into the microevolution of SARS-ACE2 Interactions: In-silico analysis of glycosylation and SNP pattern 96%
- An insight into SARS-CoV-2 Membrane protein interaction with Spike, Envelope, and Nucleocapsid proteins 94%
- Ab initio modelling of an essential mammalian protein: Transcription Termination Factor 1 (TTF1) 94%
Similar papers in this journal
- Insights into the mutation T1117I in the spike and the lineage B.1.1.389 of SARS-CoV-2 circulating in Costa Rica 95%
- Analysis of single nucleotide polymorphisms between 2019-nCoV genomes and its impact on codon usage 94%
- Whole Genome Comparison of Pakistani Corona Virus with Chinese and US Strains along with its Predictive Severity of COVID-19 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.