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Analysis of C-terminal Domain ORF6 for Mutation Pattern SARS-Cov-2 using Slicing Index

by Rini Arianty, Ety Sutanty, Esti Setiyaningsih
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 27
Year of Publication: 2024
Authors: Rini Arianty, Ety Sutanty, Esti Setiyaningsih
10.5120/ijca2024923746

Rini Arianty, Ety Sutanty, Esti Setiyaningsih . Analysis of C-terminal Domain ORF6 for Mutation Pattern SARS-Cov-2 using Slicing Index. International Journal of Computer Applications. 186, 27 ( Jul 2024), 8-12. DOI=10.5120/ijca2024923746

@article{ 10.5120/ijca2024923746,
author = { Rini Arianty, Ety Sutanty, Esti Setiyaningsih },
title = { Analysis of C-terminal Domain ORF6 for Mutation Pattern SARS-Cov-2 using Slicing Index },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2024 },
volume = { 186 },
number = { 27 },
month = { Jul },
year = { 2024 },
issn = { 0975-8887 },
pages = { 8-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number27/analysis-of-c-terminal-domain-orf6-for-mutation-pattern-sars-cov-2-using-slicing-index/ },
doi = { 10.5120/ijca2024923746 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-07-09T00:35:29.506922+05:30
%A Rini Arianty
%A Ety Sutanty
%A Esti Setiyaningsih
%T Analysis of C-terminal Domain ORF6 for Mutation Pattern SARS-Cov-2 using Slicing Index
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 27
%P 8-12
%D 2024
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This study is to ascertain the extent to which ORF6 affects the rate at which the SARS-CoV-2 virus spreads as well as the variables that may contribute to the ORF6 protein's propensity to do so. If the virus with one or more mutations has a different phenotypic from the original virus, then the SARS-CoV-2 virus may have undergone a mutation. The genetic coding of the virus contains mutations. Compared to DNA viruses and bacteria, the SARS-CoV-2 virus is a single-stranded positive RNA virus with a fragile structure that is simple to modify. As a result, RNA viruses in vitro have a greater capacity for mutation. This research will analysis the ORF6 Protein SARS-CoV-2 dataset, which has mutations or not in the C-terminal section. Proteins that do not have their own mutations have a much higher replication capacity than those that have mutations. The present study employs Biopython and Slicing Index technique to investigate the ORF6 protein's interaction with cells and its impact on the immune system by means of visualizing the protein group data on string pieces by dividing the data based on the mutation index.

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Index Terms

Computer Science
Information Sciences
Bio-informatics

Keywords

Biopython; ORF6; SARS-CoV-2; Slicing; Viral

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