Elucidation of Genome Polymorphisms in Emerging SARS-CoV-2
Ray, M.; Sarkar, S.; Rath, S. N.; Sable, M. N.
Show abstract
The COVID-19 pandemic is having a devastating effect on the healthcare system and the economy of the world. The unavailability of a specific treatment regime and a candidate vaccine yet opens up scope for new approaches and discoveries of drugs for mitigation of the sufferings of humankind due to the disease. The present isolated whole-genome sequences of SARS-CoV-2 from 11 different nations subjected to evolutionary study and genome-wide association study through in silico approaches including multiple sequence alignment, phylogenetic study through MEGA7 and have been analyzed through DNAsp respectively. These investigations recognized the nucleotide varieties and single nucleotide mutations/polymorphisms on the genomic regions as well as protein-coding regions. The resulted mutations have diversified the genomic contents of SARS-CoV-2 according to the altered nucleotides found in 11 genome sequences. India and Nepal have found to have progressively more distinct species of SARS-CoV-2 with variations in Spike protein and Nucleocapsid protein-coding sites. These genomic variations might be the explanation behind the less case fatality rate of India and Nepal dependent on the populaces. The anticipated idea of this investigation upgrades the information about genomic medication and might be useful in the planning of antibodies against SARS-CoV-2.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- In silico comparative genomics of SARS-CoV-2 to determine the source and diversity of the pathogen in Bangladesh 98%
- Comparative Genomic Study for Revealing the Complete Scenario of COVID-19 Pandemic in Bangladesh 97%
- Whole Genome Sequencing Analysis of Spike D614G Mutation Reveals Unique SARS-CoV-2 Lineages of B.1.524 and AU.2 in Malaysia 97%
Similar papers in this journal
- Epitope-Based Peptide Vaccine against Bombali Ebolavirus Viral Protein 40: An Immunoinformatics Combined with Molecular Docking Studies 97%
- Genome-wide identification and prediction of SARS-CoV-2 mutations show an abundance of variants: Integrated study of bioinformatics and deep neural learning. 97%
- Extensive In Silico Analysis of the Functional and Structural Consequences of SNPs in Human ARX Gene 96%
Similar papers in this journal
- Whole Genome Comparison of Pakistani Corona Virus with Chinese and US Strains along with its Predictive Severity of COVID-19 98%
- Analysis of single nucleotide polymorphisms between 2019-nCoV genomes and its impact on codon usage 98%
- In silico analysis of SNPs in human phosphofructokinase, Muscle (PFKM) gene: An apparent therapeutic target of aerobic glycolysis and cancer 96%
Similar papers in this journal
- Mutational spectra of SARS-CoV-2 orf1ab polyprotein and Signature mutations in the United States of America 98%
- Genomic diversity of SARS-CoV-2 in Pakistan during fourth wave of pandemic 97%
- Omicron (BA.1) and Sub-Variants (BA.1, BA.2 and BA.3) of SARS-CoV-2 Spike Infectivity and Pathogenicity: A Comparative Sequence and Structural-based Computational Assessment 96%
Similar papers in this journal
- Emergence of SARS-CoV-2 Omicron Variant JN.1 in Tamil Nadu, India - Clinical Characteristics and Novel Mutations 96%
- Climate influences scrub typhus occurrence in Vellore, Tamil Nadu, India: Analysis of a 15 year dataset 95%
- Machine learning prediction of antiviral-HPV protein interactions for anti-HPV pharmacotherapy 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.