Mutations in Novel COVID-19 Make it More Dangerous: Prevention Via Scientific Approaches

Abstract

We computed several genomes of COVID-19 information from GISAID, NCBI, and NMDC. Sequence alignment with the strain Bat CoV RaTG13 applied by MAFFT. Genome variable zones of sequence alignment applied the noisy (http://www.bioinf.uni-leipzig.de/Software/noisy/). The protein sequences were gained from NCBI web sites, and the proteins of COVID-19, such as protein sequences, were used to analyze the conserved domain. Several proteins were used for constructing 3-D compounds through homology modeling. Moreover, we show that N-terminal deletions of karyopherin alpha 2 that no longer linkage to karyopherin beta 1 retain ORF6 binding activity but no longer block STAT1 nuclear enter. Recombinant SARS-CoV lacking ORF6 did not close karyopherin alpha 2 to the ER/Golgi membrane and led to the import of the STAT1 complex into the nucleus. Some genomes of different coronaviruses applying BAST and MAFFT software have been estimated, and other genomes have been chosen. It has been unraveled that COVID-19 can generate a new mutation, especially in glycoproteins.