tetano
Editor, Senior Moderator
J Clin Virol
. 2020 May 15;104441.
doi: 10.1016/j.jcv.2020.104441. Online ahead of print.
Investigating the Genomic Landscape of Novel Coronavirus (2019-nCoV) to Identify Non-Synonymous Mutations for Use in Diagnosis and Drug Design
Manish Tiwari[SUP] 1 [/SUP], Divya Mishra[SUP] 2 [/SUP]
Affiliations
Abstract
This study presents a comprehensive phylogenetic analysis of SARS-CoV2 isolates to understand discrete mutations that are occurring between patient samples. The analysis unravel various amino acid mutations in the viral proteins which may provide an explanation for varying treatment efficacies of different inhibitory drugs and a future direction towards a combinatorial treatment therapies based on the kind of mutation in the viral genome.
Keywords: SARS; bat-hCoV; coronavirus; pangolin-hCoV; phylogeny; synonymous and non-synonymous substitutions.
. 2020 May 15;104441.
doi: 10.1016/j.jcv.2020.104441. Online ahead of print.
Investigating the Genomic Landscape of Novel Coronavirus (2019-nCoV) to Identify Non-Synonymous Mutations for Use in Diagnosis and Drug Design
Manish Tiwari[SUP] 1 [/SUP], Divya Mishra[SUP] 2 [/SUP]
Affiliations
- PMID: 32425659
- PMCID: PMC7227581
- DOI: 10.1016/j.jcv.2020.104441
Abstract
This study presents a comprehensive phylogenetic analysis of SARS-CoV2 isolates to understand discrete mutations that are occurring between patient samples. The analysis unravel various amino acid mutations in the viral proteins which may provide an explanation for varying treatment efficacies of different inhibitory drugs and a future direction towards a combinatorial treatment therapies based on the kind of mutation in the viral genome.
Keywords: SARS; bat-hCoV; coronavirus; pangolin-hCoV; phylogeny; synonymous and non-synonymous substitutions.