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In silico analysis of non-structural protein 12 sequences from SARS-COV-2 found in Manaus, Amazonas, Brazil, reveals mutations linked to higher transmissibility

Authors :
FERNANDO B. ZANCHI
GABRIEL EDUARDO M. FERREIRA
LUIS ANDRÉ M. MARIÚBA
JULIANE C. GLÓRIA
VALDINETE A. DO NASCIMENTO
VICTOR C. DE SOUZA
ANDRÉ DE LIMA G. CORADO
FERNANDA O. DO NASCIMENTO
ÁGATHA KÉLLY A. DA COSTA
DÉBORA CAMILA G. DUARTE
GEORGE ALLAN V. DA SILVA
MATILDE DEL CARMEN C. MEJÍA
KARINA P. PESSOA
LUCIANA MARA F. GONÇALVES
MARIA JÚLIA P. BRANDÃO
MICHELE S. DE JESUS
MARINEIDE S. DA SILVA
CRISTIANO F. DA COSTA
FELIPE G. NAVECA
Source :
Anais da Academia Brasileira de Ciências, Vol 96, Iss 2 (2024)
Publication Year :
2024
Publisher :
Academia Brasileira de Ciências, 2024.

Abstract

Abstract The disease coronavirus COVID-19 has been the cause of millions of deaths worldwide. Among the proteins of SARS-CoV-2, non-structural protein 12 (NSP12) plays a key role during COVID infection and is part of the RNA-dependent RNA polymerase complex. The monitoring of NSP12 polymorphisms is extremely important for the design of new antiviral drugs and monitoring of viral evolution. This study analyzed the NSP12 mutations detected in circulating SARS-CoV-2 during the years 2020 to 2022 in the population of the city of Manaus, Amazonas, Brazil. The most frequent mutations found were P323L and G671S. Reports in the literature indicate that these mutations are related to transmissibility efficiency, which may have contributed to the extremely high numbers of cases in this location. In addition, two mutations described here (E796D and R914K) are close and have RMSD that is similar to the mutations M794V and N911K, which have been described in the literature as influential on the performance of the NSP12 enzyme. These data demonstrate the need to monitor the emergence of new mutations in NSP12 in order to better understand their consequences for the treatments currently used and in the design of new drugs.

Details

Language :
English
ISSN :
16782690 and 00013765
Volume :
96
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Anais da Academia Brasileira de Ciências
Publication Type :
Academic Journal
Accession number :
edsdoj.498199b43dc84421842469a29f54501e
Document Type :
article
Full Text :
https://doi.org/10.1590/0001-3765202420231336