PHYLOGENETIC ANALYSIS AND SPIKE PROTEIN MUTATION PROFILING OF SARS-COV-2 VIRUS IN INDONESIA

COVID-19 disease has been announced as a global pandemic on March 11, 2020, and spread to 223 countries including Indonesia, which was ranked the 14th country with most detected cases, with 4.235.384 total cases as of October 19, 2021. This disease is caused by the SARS-CoV-2 virus from the Coron...

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Main Author: Dian Pitaloka, Janice
Format: Final Project
Language:Indonesia
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Online Access:https://digilib.itb.ac.id/gdl/view/79504
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:79504
spelling id-itb.:795042024-01-08T13:25:51ZPHYLOGENETIC ANALYSIS AND SPIKE PROTEIN MUTATION PROFILING OF SARS-COV-2 VIRUS IN INDONESIA Dian Pitaloka, Janice Ilmu hayati ; Biologi Indonesia Final Project Varian of Concern, mutagenesis, hACE2, N501Y, P681R INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/79504 COVID-19 disease has been announced as a global pandemic on March 11, 2020, and spread to 223 countries including Indonesia, which was ranked the 14th country with most detected cases, with 4.235.384 total cases as of October 19, 2021. This disease is caused by the SARS-CoV-2 virus from the Coronaviridae family. SARS-CoV-2 has mutated, causing new variants to emerge including Variants of Concern (VOC) which can be characterized according to its spike protein (S) that interacts with the hACE2 receptor. This study intends to analyze the mutation profile of S protein in Indonesia from the beginning of the pandemic to June 17, 2021. The methods used in this study include S protein mutation analysis on 1.676 samples from Indonesia that were acquired through the GISAID database. Phylogenetic analysis was done by constructing a dataset, aligning them using MAFFT, trimming them with Gblocks, and constructing a phylogenetic tree using Mr. Bayes. Protein analysis was done through alignment with MAFFT, identification and selection of VOC mutations with an occurrence frequency of ? 1,85% in the data using CoV-GLUE, SWISS-MODEL homology modelling, mutagenesis in PyMOL, molecular docking with HDOCK, and MM/GBSA analysis. The results of this study showed that there were 26 variants of SARSCoV- 2 in Indonesia, including local variants (B.1.466.2 and B.1.470), and VOC Alfa, Beta, and Delta that were mostly found in Bali, DKI Jakarta, and West Java Provinces respectively. The N501Y mutation in VOC Alfa, Beta, Gamma, and the P681R mutation in VOC Delta showed positive effects on the interaction stability between S protein and hACE2 receptor, in which the two mutations had ??GBind scores above 0,5 kcal/mol. This showed that the two mutations had higher ?GBind scores compared to the Wuhan reference. Nevertheless, only the N501Y mutation showed an increase in hydrophobic interaction (100 interactions) when compared to the reference. Thus, the N501Y mutation from the Alfa, Beta, and Gamma variants, and the P681R mutation from the Delta variant had increased proteinreceptor complex stability caused by higher binding affinity and total hydrogenhydrophobic bond. This in silico study showed that the effects of the N501Y and P681R amino acid mutation pathways on the SARS-CoV-2 virus evolution in Indonesia need to be treated with caution because of their potential to cause the emergence of new variants which have higher infectivity and virulence. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
topic Ilmu hayati ; Biologi
spellingShingle Ilmu hayati ; Biologi
Dian Pitaloka, Janice
PHYLOGENETIC ANALYSIS AND SPIKE PROTEIN MUTATION PROFILING OF SARS-COV-2 VIRUS IN INDONESIA
description COVID-19 disease has been announced as a global pandemic on March 11, 2020, and spread to 223 countries including Indonesia, which was ranked the 14th country with most detected cases, with 4.235.384 total cases as of October 19, 2021. This disease is caused by the SARS-CoV-2 virus from the Coronaviridae family. SARS-CoV-2 has mutated, causing new variants to emerge including Variants of Concern (VOC) which can be characterized according to its spike protein (S) that interacts with the hACE2 receptor. This study intends to analyze the mutation profile of S protein in Indonesia from the beginning of the pandemic to June 17, 2021. The methods used in this study include S protein mutation analysis on 1.676 samples from Indonesia that were acquired through the GISAID database. Phylogenetic analysis was done by constructing a dataset, aligning them using MAFFT, trimming them with Gblocks, and constructing a phylogenetic tree using Mr. Bayes. Protein analysis was done through alignment with MAFFT, identification and selection of VOC mutations with an occurrence frequency of ? 1,85% in the data using CoV-GLUE, SWISS-MODEL homology modelling, mutagenesis in PyMOL, molecular docking with HDOCK, and MM/GBSA analysis. The results of this study showed that there were 26 variants of SARSCoV- 2 in Indonesia, including local variants (B.1.466.2 and B.1.470), and VOC Alfa, Beta, and Delta that were mostly found in Bali, DKI Jakarta, and West Java Provinces respectively. The N501Y mutation in VOC Alfa, Beta, Gamma, and the P681R mutation in VOC Delta showed positive effects on the interaction stability between S protein and hACE2 receptor, in which the two mutations had ??GBind scores above 0,5 kcal/mol. This showed that the two mutations had higher ?GBind scores compared to the Wuhan reference. Nevertheless, only the N501Y mutation showed an increase in hydrophobic interaction (100 interactions) when compared to the reference. Thus, the N501Y mutation from the Alfa, Beta, and Gamma variants, and the P681R mutation from the Delta variant had increased proteinreceptor complex stability caused by higher binding affinity and total hydrogenhydrophobic bond. This in silico study showed that the effects of the N501Y and P681R amino acid mutation pathways on the SARS-CoV-2 virus evolution in Indonesia need to be treated with caution because of their potential to cause the emergence of new variants which have higher infectivity and virulence.
format Final Project
author Dian Pitaloka, Janice
author_facet Dian Pitaloka, Janice
author_sort Dian Pitaloka, Janice
title PHYLOGENETIC ANALYSIS AND SPIKE PROTEIN MUTATION PROFILING OF SARS-COV-2 VIRUS IN INDONESIA
title_short PHYLOGENETIC ANALYSIS AND SPIKE PROTEIN MUTATION PROFILING OF SARS-COV-2 VIRUS IN INDONESIA
title_full PHYLOGENETIC ANALYSIS AND SPIKE PROTEIN MUTATION PROFILING OF SARS-COV-2 VIRUS IN INDONESIA
title_fullStr PHYLOGENETIC ANALYSIS AND SPIKE PROTEIN MUTATION PROFILING OF SARS-COV-2 VIRUS IN INDONESIA
title_full_unstemmed PHYLOGENETIC ANALYSIS AND SPIKE PROTEIN MUTATION PROFILING OF SARS-COV-2 VIRUS IN INDONESIA
title_sort phylogenetic analysis and spike protein mutation profiling of sars-cov-2 virus in indonesia
url https://digilib.itb.ac.id/gdl/view/79504
_version_ 1822996308956282880