Temporal-Geographical Dispersion of SARS-CoV-2 Spike Glycoprotein Variant Lineages and Their Functional Prediction Using <i>in Silico</i> Approach

Our study showed the global distribution of SARS-CoV-2 S protein variants from January 2020 to the end of April 2021. We highlighted the key amino acids of S protein subjected to positive selection.

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Autores principales:	Siaw Shi Boon, Chichao Xia, Maggie Haitian Wang, Ka Lai Yip, Ho Yin Luk, Sile Li, Rita W. Y. Ng, Christopher K. C. Lai, Paul Kay Sheung Chan, Zigui Chen
Formato:	article
Lenguaje:	EN
Publicado:	American Society for Microbiology 2021
Materias:	Microbiology QR1-502
Acceso en línea:	https://doaj.org/article/cbf5624d97ef496f92bac372213ffa68
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spelling	oai:doaj.org-article:cbf5624d97ef496f92bac372213ffa682021-11-03T21:52:36Z Temporal-Geographical Dispersion of SARS-CoV-2 Spike Glycoprotein Variant Lineages and Their Functional Prediction Using <i>in Silico</i> Approach 2150-751110.1128/mBio.02687-21https://doaj.org/article/cbf5624d97ef496f92bac372213ffa682021-10-01T00:00:00Zhttps://journals.asm.org/doi/10.1128/mBio.02687-21https://doaj.org/toc/2150-7511 Our study showed the global distribution of SARS-CoV-2 S protein variants from January 2020 to the end of April 2021. We highlighted the key amino acids of S protein subjected to positive selection.Siaw Shi BoonChichao XiaMaggie Haitian WangKa Lai YipHo Yin LukSile LiRita W. Y. NgChristopher K. C. LaiPaul Kay Sheung ChanZigui ChenAmerican Society for MicrobiologyarticleMicrobiologyQR1-502ENmBio, Vol 12, Iss 5 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Microbiology QR1-502
spellingShingle	Microbiology QR1-502 Siaw Shi Boon Chichao Xia Maggie Haitian Wang Ka Lai Yip Ho Yin Luk Sile Li Rita W. Y. Ng Christopher K. C. Lai Paul Kay Sheung Chan Zigui Chen Temporal-Geographical Dispersion of SARS-CoV-2 Spike Glycoprotein Variant Lineages and Their Functional Prediction Using <i>in Silico</i> Approach
description	Our study showed the global distribution of SARS-CoV-2 S protein variants from January 2020 to the end of April 2021. We highlighted the key amino acids of S protein subjected to positive selection.
format	article
author	Siaw Shi Boon Chichao Xia Maggie Haitian Wang Ka Lai Yip Ho Yin Luk Sile Li Rita W. Y. Ng Christopher K. C. Lai Paul Kay Sheung Chan Zigui Chen
author_facet	Siaw Shi Boon Chichao Xia Maggie Haitian Wang Ka Lai Yip Ho Yin Luk Sile Li Rita W. Y. Ng Christopher K. C. Lai Paul Kay Sheung Chan Zigui Chen
author_sort	Siaw Shi Boon
title	Temporal-Geographical Dispersion of SARS-CoV-2 Spike Glycoprotein Variant Lineages and Their Functional Prediction Using <i>in Silico</i> Approach
title_short	Temporal-Geographical Dispersion of SARS-CoV-2 Spike Glycoprotein Variant Lineages and Their Functional Prediction Using <i>in Silico</i> Approach
title_full	Temporal-Geographical Dispersion of SARS-CoV-2 Spike Glycoprotein Variant Lineages and Their Functional Prediction Using <i>in Silico</i> Approach
title_fullStr	Temporal-Geographical Dispersion of SARS-CoV-2 Spike Glycoprotein Variant Lineages and Their Functional Prediction Using <i>in Silico</i> Approach
title_full_unstemmed	Temporal-Geographical Dispersion of SARS-CoV-2 Spike Glycoprotein Variant Lineages and Their Functional Prediction Using <i>in Silico</i> Approach
title_sort	temporal-geographical dispersion of sars-cov-2 spike glycoprotein variant lineages and their functional prediction using <i>in silico</i> approach
publisher	American Society for Microbiology
publishDate	2021
url	https://doaj.org/article/cbf5624d97ef496f92bac372213ffa68
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Temporal-Geographical Dispersion of SARS-CoV-2 Spike Glycoprotein Variant Lineages and Their Functional Prediction Using <i>in Silico</i> Approach

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