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SARS-CoV-2 突变的鉴定与计算分析。

Identification and computational analysis of mutations in SARS-CoV-2.

机构信息

Computer Science Department, Government College of Engineering and Textile Technology, Serampore, 712201, India; Centre for Interdisciplinary Research and Education, Kolkata, 700068, India.

Microbiology Department, St. Xavier's College, Kolkata, 700016, India; Centre for Interdisciplinary Research and Education, Kolkata, 700068, India.

出版信息

Comput Biol Med. 2021 Feb;129:104166. doi: 10.1016/j.compbiomed.2020.104166. Epub 2020 Dec 28.

Abstract

SARS-CoV-2 infection has become a worldwide pandemic and is spreading rapidly to people across the globe. To combat the situation, vaccine design is the essential solution. Mutation in the virus genome plays an important role in limiting the working life of a vaccine. In this study, we have identified several mutated clusters in the structural proteins of the virus through our novel 2D Polar plot and q characterization descriptor. We have also studied several biochemical properties of the proteins to explore the dynamics of evolution of these mutations. This study would be helpful to understand further new mutations in the virus and would facilitate the process of designing a sustainable vaccine against the deadly virus.

摘要

SARS-CoV-2 感染已成为全球性大流行,并迅速传播到全球各地的人群中。为了应对这种情况,疫苗设计是必不可少的解决方案。病毒基因组中的突变在限制疫苗的有效期方面起着重要作用。在这项研究中,我们通过新颖的 2D 极坐标图和 q 特征描述符鉴定了病毒结构蛋白中的几个突变簇。我们还研究了这些蛋白质的几种生化特性,以探索这些突变的进化动态。这项研究有助于进一步了解病毒中的新突变,并促进设计针对这种致命病毒的可持续疫苗的过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b74e/7837166/42669b474775/gr1_lrg.jpg

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