Omicron B.۱.۱.۵۲۹ Tyrosine Phosphatase Receptor Transition Among SARS-CoV-۲ Heredities: A Validation Of Homology Modelling And Phylogenetic Analysis

  • سال انتشار: 1401
  • محل انتشار: Journal of Agricultural Sciences and Engineering، دوره: 4، شماره: 1
  • کد COI اختصاصی: JR_JASE-4-1_006
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 95
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نویسندگان

Venu Paritala

Department of BioTechnology Vignan&#۰۳۹;s Foundation for Science, Technology & Research Guntur, A.P, India

Harsha Thummala

Department of BioTechnology Vignan&#۰۳۹;s Foundation for Science, Technology & Research Guntur, A.P, India

Mohit T.N.S

Department of BioTechnology Vignan&#۰۳۹;s Foundation for Science, Technology & Research Guntur, A.P, India

چکیده

Introduction: Sars-cov-۲ heredities have spread around the world and have been declared a worldwide pandemic. Thus, additional research is required. In this research, we used bioinformatics approaches such as structure prediction and phylogenetic analysis to investigate the anticipated tyrosine phosphatase receptors of omicron.Methods: The phylogenetic analysis was conducted Mega ۵.۲ (molecular evolutionary genetics analysis version ۵.۲). Homology modelling was performed using the Swiss-model, Phyre ۲, and I-Tasser, and the best model was proposed using procheck, prosa, errat, and verify-۳D.Results: The results of this study indicate active interactions between escherichia coli and homo sapiens in phylogeny and modelling, with ۸۸.۶ percent of the builds happening in the most favourable region, ۱۱.۲% in the allowed region, ۰.۶ percent in the freely permitted region, and ۰.۲ percent in the forbidden zone. In this study, phylogenetic analysis and homology model was developed for tyrosine phosphatase receptor by using Swiss-model, Phyre ۲, and I-Tasser. The developed models were validated by using Errat, verify-۳D, Prove, Prosa, and Ddfire.Conclusion: The analysis can be used in future for drug design and can also be passed from one generation to the next through inheritance which helps us to learn about evolutionary relationships.

کلیدواژه ها

SARS-CoV-۲, Homology modeling, phylogenetic analysis, Bioinformatics, tyrosine phosphatase receptors

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