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SARS2Mutant: SARS-CoV-2 amino-acid mutation atlas database

The coronavirus disease 19 (COVID-19) is a highly pathogenic viral infection of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), resulted in the global pandemic of 2020. A lack of therapeutic and preventive strategies has quickly posed significant threats to world health. A co...

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Autores principales: Rahimian, Karim, Arefian, Ehsan, Mahdavi, Bahar, Mahmanzar, Mohammadamin, Kuehu, Donna Lee, Deng, Youping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10124966/
https://www.ncbi.nlm.nih.gov/pubmed/37101659
http://dx.doi.org/10.1093/nargab/lqad037
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author Rahimian, Karim
Arefian, Ehsan
Mahdavi, Bahar
Mahmanzar, Mohammadamin
Kuehu, Donna Lee
Deng, Youping
author_facet Rahimian, Karim
Arefian, Ehsan
Mahdavi, Bahar
Mahmanzar, Mohammadamin
Kuehu, Donna Lee
Deng, Youping
author_sort Rahimian, Karim
collection PubMed
description The coronavirus disease 19 (COVID-19) is a highly pathogenic viral infection of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), resulted in the global pandemic of 2020. A lack of therapeutic and preventive strategies has quickly posed significant threats to world health. A comprehensive understanding of SARS-CoV-2 evolution and natural selection, how it impacts host interaction, and phenotype symptoms is vital to develop effective strategies against the virus. The SARS2Mutant database (http://sars2mutant.com/) was developed to provide valuable insights based on millions of high-quality, high-coverage SARS-CoV-2 complete protein sequences. Users of this database have the ability to search for information on three amino acid substitution mutation strategies based on gene name, geographical zone, or comparative analysis. Each strategy is presented in five distinct formats which includes: (i) mutated sample frequencies, (ii) heat maps of mutated amino acid positions, (iii) mutation survivals, (iv) natural selections and (v) details of substituted amino acids, including their names, positions, and frequencies. GISAID is a primary database of genomics sequencies of influenza viruses updated daily. SARS2Mutant is a secondary database developed to discover mutation and conserved regions from the primary data to assist with design for targeted vaccine, primer, and drug discoveries.
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spelling pubmed-101249662023-04-25 SARS2Mutant: SARS-CoV-2 amino-acid mutation atlas database Rahimian, Karim Arefian, Ehsan Mahdavi, Bahar Mahmanzar, Mohammadamin Kuehu, Donna Lee Deng, Youping NAR Genom Bioinform Standard Article The coronavirus disease 19 (COVID-19) is a highly pathogenic viral infection of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), resulted in the global pandemic of 2020. A lack of therapeutic and preventive strategies has quickly posed significant threats to world health. A comprehensive understanding of SARS-CoV-2 evolution and natural selection, how it impacts host interaction, and phenotype symptoms is vital to develop effective strategies against the virus. The SARS2Mutant database (http://sars2mutant.com/) was developed to provide valuable insights based on millions of high-quality, high-coverage SARS-CoV-2 complete protein sequences. Users of this database have the ability to search for information on three amino acid substitution mutation strategies based on gene name, geographical zone, or comparative analysis. Each strategy is presented in five distinct formats which includes: (i) mutated sample frequencies, (ii) heat maps of mutated amino acid positions, (iii) mutation survivals, (iv) natural selections and (v) details of substituted amino acids, including their names, positions, and frequencies. GISAID is a primary database of genomics sequencies of influenza viruses updated daily. SARS2Mutant is a secondary database developed to discover mutation and conserved regions from the primary data to assist with design for targeted vaccine, primer, and drug discoveries. Oxford University Press 2023-04-24 /pmc/articles/PMC10124966/ /pubmed/37101659 http://dx.doi.org/10.1093/nargab/lqad037 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Standard Article
Rahimian, Karim
Arefian, Ehsan
Mahdavi, Bahar
Mahmanzar, Mohammadamin
Kuehu, Donna Lee
Deng, Youping
SARS2Mutant: SARS-CoV-2 amino-acid mutation atlas database
title SARS2Mutant: SARS-CoV-2 amino-acid mutation atlas database
title_full SARS2Mutant: SARS-CoV-2 amino-acid mutation atlas database
title_fullStr SARS2Mutant: SARS-CoV-2 amino-acid mutation atlas database
title_full_unstemmed SARS2Mutant: SARS-CoV-2 amino-acid mutation atlas database
title_short SARS2Mutant: SARS-CoV-2 amino-acid mutation atlas database
title_sort sars2mutant: sars-cov-2 amino-acid mutation atlas database
topic Standard Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10124966/
https://www.ncbi.nlm.nih.gov/pubmed/37101659
http://dx.doi.org/10.1093/nargab/lqad037
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