IntroductionIndonesia kick-started the big project of COVID-19 vaccination program in January 2021 by employed vaccine to the president of Indonesia. The outbreak and rapid transmission of COVID-19 have endangered the global health and economy. This study aimed to investigate the full-length genome mutation analysis of 166 Indonesian SARS-CoV-2 isolates as 12 January 2021.MethodsAll data of isolates was extracted from the Global Initiative on Sharing All Influenza Data (GISAID) EpiCoV database. CoVsurver was employed to investigate the full-length genome mutation analysis of all isolates. Furthermore, this study also focused on the unlocking of mutation in Indonesian SARS-CoV-2 isolates S protein. WIV04 isolate that was originated from Wuhan, China was used as a virus reference according to CoVsurver default. All data was visualized using GraphPad Prism software, PyMOL, and BioRender.ResultsThis study result showed that a full-length genome mutation analysis of 166 Indonesian SARS-CoV-2 isolates was successfully discovered. Every single mutation in S protein was described and then visualised by employing BioRender. Furthermore, it also found that D614G mutation appeared in 103 Indonesian SARS-CoV-2 isolates.ConclusionTo sum up, this study helps to observe the spread of the COVID-19 transmission. However, it would like to propose that the epidemiological surveillance and genomics studies might be improved on COVID-19 pandemic in Indonesia.
Background Indonesia has started the big project of COVID-19 vaccination program since 13 January 2021 by employing the first shot of vaccine to the President of Indonesia as the outbreak and rapid transmission of COVID-19 have endangered not only Indonesian but the global health and economy. This study aimed to investigate the full-length genome mutation analysis of 166 Indonesian SARS-CoV-2 isolates as of 12 January 2021. Results All data of the isolates were extracted from the Global Initiative on Sharing All Influenza Data (GISAID) EpiCoV database. CoVsurver platform was employed to investigate the full-length genome mutation analysis of all isolates. This study also focused on the phylogeny analysis in unlocking the mutation of S protein in Indonesian SARS-CoV-2 isolates. WIV04 isolate that was originated from Wuhan, China was used as the virus reference according to the CoVsurver default. The result showed that a full-length genome mutation analysis of 166 Indonesian SARS-CoV-2 isolates was successfully generated. Every single mutation in S protein was described and then visualized by utilizing BioRender platform. Furthermore, it also found that D614G mutation appeared in 103 Indonesian SARS-CoV-2 isolates. Conclusions To sum up, this study helped to observe the spread of COVID-19 transmission. However, it also proposed that the epidemiological surveillance and genomics studies might be improved on COVID-19 pandemic in Indonesia.
Context: SARS-CoV-2, a member of family Coronaviridae and the causative agent of COVID-19, is a virus which is transmitted to human and other mammals. Aims: To analyze the B-cell epitope conserved region and viroinformatics-based study of the SARS-CoV-2 lineage from Indonesian B.1.1.7 isolates to invent a vaccine nominee for overcoming COVID-19. Methods: The sequences of seven Indonesian B.1.1.7 isolates, Wuhan-Hu-1 isolate, and WIV04 isolate were extracted from the GISAID EpiCoV and GenBank, NCBI. MEGA X was employed to understand the transformations of amino acid in the S protein and to develop a molecular phylogenetic tree. The IEDB was implemented to reveal the linear B-cell epitopes. In addition, PEP-FOLD3 web server was utilized to perform peptide modeling, while docking was performed using PatchDock, FireDock, and the PyMOL software. Moreover, in silico cloning was developed by using SnapGene v.3.2.1 software. Results: In this study, the changes of amino acid in all seven Indonesian B.1.1.7 isolates were uncovered. Furthermore, various peptides based on the B-cell epitope prediction, allergenicity prediction, toxicity prediction from S protein to generate a vaccine contrary to SARS-CoV-2 were identified. Furthermore, the development of in silico cloning using pET plasmid was successfully achieved. Conclusions: This study exhibits the transformations of amino acid in Indonesian B.1.1.7 isolates, and proposes four peptides (“LTPGDSSSGWTAG”, “VRQIAPGQTGKIAD”, “ILPDPSKPSKRS”, and “KNHTSPDVDLG”) from S protein as the candidate for a peptide-based vaccine. However, further advance trials such as in vitro and in vivo testing are involved for validation.
Using Lipinski's rule of five on the SCFBIO web server (http://www.scfbio-iitd. res.in/software/ drugdesign/lipinski.jsp), curcumin was utilized for further drug-likeness analysis. It was regarded as a successful forecast when two minimal guidelines ABSTRACT COVID-19 has become a global pandemic since 2020. The search for promising drugs based on the abundant herbal ingredients in Indonesia is one of the breakthroughs. Curcumin is a chemical compound with various potentials such as antioxidant, anti-inflammatory and antiviral. We conducted a molecular docking analysis to determine the potential of curcumin against SARS-CoV-2 non-structural and structural proteins, such as the main protease and spike protein. This study used the compound of curcumin (PubChem CID: 969516) from Curcuma longa L. or turmeric and two Indonesian SARS-CoV-2 isolates that have been deposited in the GISAID database (hCoV-19/Indonesia/JI-PNF-217315/2021 -EPI_ ISL_12777089 or lineage B.1.617.2 and hCoV-19/Indonesia/JI-PNF-211373/2021 -EPI_ISL_6425649 or lineage B.1.470). In addition, we used molnupiravir (PubChem CID: 145996610) as a drug control. We performed molecular docking analysis with PyRx software 0.9.9 (academic license) and visualization of molecular docking results with PyMOL software 2.5.4 (academic license). The results of this study found that curcumin had good potential against main protease and spike protein compared to the drug (control). In summary, we suggested that curcumin is a potential drug candidate against SARS-CoV-2. However, there is a need for future wet laboratory-based pre-clinical research such as in vitro and in vivo.
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