A. Warghane, Tejaswini Petkar, Usha Preeyaa, N. Kumari, Lavanya Ranjan
{"title":"基于刺突蛋白基因的严重急性呼吸综合征冠状病毒-2 (SARS-CoV-2)的计算机表征","authors":"A. Warghane, Tejaswini Petkar, Usha Preeyaa, N. Kumari, Lavanya Ranjan","doi":"10.14744/ejmo.2021.52103","DOIUrl":null,"url":null,"abstract":"Objectives: The Coronavirus Disease 2019 (COVID-19) caused by SARS-CoV-2 has been the current global pandemic concern. With a high transmission rate, especially through direct contact, this disease spreads from person to person, and this has in turn led to a huge number of infections on a global scale. Methods: In present study, comparative genomic analysis was performed using 151 gene sequences of the viral spike protein retrieved from NCBI and along with its translated nucleotide sequences using MEGAX software. Variation in the nucleotide and amino acid positions were identified. Results: Our analysis revealed that 22 nucleotide variations observed in positions 13, 141, 162, 233, 284, 328, 455, 459, 716, 773, 784, 882, 1686, 1715, 1749, 1841, 2031, 2076, 2383, 2520, 2533, 3300 and 17 amino acid variations observed in position 5, 54, 78, 90, 95, 152, 153, 239, 258, 262, 572, 583, 614, 684, 677, 795 and 845. Further, phylogenetic analysis was used to uncover the patterns of spread of the virus across the affected countries. Although, certain strains showed patterns of transmission within communities, a vast majority revealed an evident mosaic pattern. Conclusion: The data obtained provides a clear understanding of variations in the nucleotide and translated nucleotide sequences, which can be targeted towards drug designing and to study evolutionary analysis.","PeriodicalId":11831,"journal":{"name":"Eurasian Journal of Medicine and Oncology","volume":"2 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"In Silico Characterisation of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) based on the Spike Protein Gene\",\"authors\":\"A. Warghane, Tejaswini Petkar, Usha Preeyaa, N. Kumari, Lavanya Ranjan\",\"doi\":\"10.14744/ejmo.2021.52103\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objectives: The Coronavirus Disease 2019 (COVID-19) caused by SARS-CoV-2 has been the current global pandemic concern. With a high transmission rate, especially through direct contact, this disease spreads from person to person, and this has in turn led to a huge number of infections on a global scale. Methods: In present study, comparative genomic analysis was performed using 151 gene sequences of the viral spike protein retrieved from NCBI and along with its translated nucleotide sequences using MEGAX software. Variation in the nucleotide and amino acid positions were identified. Results: Our analysis revealed that 22 nucleotide variations observed in positions 13, 141, 162, 233, 284, 328, 455, 459, 716, 773, 784, 882, 1686, 1715, 1749, 1841, 2031, 2076, 2383, 2520, 2533, 3300 and 17 amino acid variations observed in position 5, 54, 78, 90, 95, 152, 153, 239, 258, 262, 572, 583, 614, 684, 677, 795 and 845. Further, phylogenetic analysis was used to uncover the patterns of spread of the virus across the affected countries. Although, certain strains showed patterns of transmission within communities, a vast majority revealed an evident mosaic pattern. Conclusion: The data obtained provides a clear understanding of variations in the nucleotide and translated nucleotide sequences, which can be targeted towards drug designing and to study evolutionary analysis.\",\"PeriodicalId\":11831,\"journal\":{\"name\":\"Eurasian Journal of Medicine and Oncology\",\"volume\":\"2 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Eurasian Journal of Medicine and Oncology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14744/ejmo.2021.52103\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eurasian Journal of Medicine and Oncology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14744/ejmo.2021.52103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In Silico Characterisation of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) based on the Spike Protein Gene
Objectives: The Coronavirus Disease 2019 (COVID-19) caused by SARS-CoV-2 has been the current global pandemic concern. With a high transmission rate, especially through direct contact, this disease spreads from person to person, and this has in turn led to a huge number of infections on a global scale. Methods: In present study, comparative genomic analysis was performed using 151 gene sequences of the viral spike protein retrieved from NCBI and along with its translated nucleotide sequences using MEGAX software. Variation in the nucleotide and amino acid positions were identified. Results: Our analysis revealed that 22 nucleotide variations observed in positions 13, 141, 162, 233, 284, 328, 455, 459, 716, 773, 784, 882, 1686, 1715, 1749, 1841, 2031, 2076, 2383, 2520, 2533, 3300 and 17 amino acid variations observed in position 5, 54, 78, 90, 95, 152, 153, 239, 258, 262, 572, 583, 614, 684, 677, 795 and 845. Further, phylogenetic analysis was used to uncover the patterns of spread of the virus across the affected countries. Although, certain strains showed patterns of transmission within communities, a vast majority revealed an evident mosaic pattern. Conclusion: The data obtained provides a clear understanding of variations in the nucleotide and translated nucleotide sequences, which can be targeted towards drug designing and to study evolutionary analysis.