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


Journal

NAR genomics and bioinformatics
ISSN: 2631-9268
Titre abrégé: NAR Genom Bioinform
Pays: England
ID NLM: 101756213

Informations de publication

Date de publication:
Jun 2023
Historique:
received: 03 12 2022
revised: 27 02 2023
accepted: 18 04 2023
medline: 27 4 2023
pubmed: 27 4 2023
entrez: 27 4 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 37101659
doi: 10.1093/nargab/lqad037
pii: lqad037
pmc: PMC10124966
doi:

Types de publication

Journal Article

Langues

eng

Pagination

lqad037

Subventions

Organisme : NIGMS NIH HHS
ID : P20 GM103466
Pays : United States

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics.

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Auteurs

Karim Rahimian (K)

Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran.

Ehsan Arefian (E)

Department of Microbiology, School of Biology, College of Science, University of Tehran, Tehran, Iran.

Bahar Mahdavi (B)

Department of Computer Science, Tarbiat Modares University, Tehran, Iran.

Mohammadamin Mahmanzar (M)

Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI 96813, USA.

Donna Lee Kuehu (DL)

Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI 96813, USA.

Youping Deng (Y)

Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI 96813, USA.

Classifications MeSH