Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Xiaoyi Leng"'
Autor:
Kim El-Haddad, Thamali M Adhikari, Tu Zheng Jin, Yu-Wei Cheng, Xiaoyi Leng, Xiangyi Zhang, Daniel Rhoads, Jennifer S. Ko, Sarah Worley, Jing Li, Brian P. Rubin, Frank P. Esper
BackgroundOur understanding of SARS-CoV-2 evolution and mutation rate is limited. The rate of SARS-CoV-2 evolution is minimized through a proofreading function encoded byNSP-14and may be affected by patient comorbidity. Current understanding of SARS-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ae730a1bd8821ba34070654f2913a85
https://doi.org/10.1101/2023.03.24.534062
https://doi.org/10.1101/2023.03.24.534062
Autor:
Kim El Haddad, Frank Esper, Thamali Madhushani Adhikari Mudiyanselage, Jing Li, Tu Zheng, Yu-Wei Cheng, Daniel D Rhoads, Daniel H Farkas, Jennifer Ko, Sarah Worley, Brian Rubin, Xiangyi Zhang, Xiaoyi Leng
Publikováno v:
Open Forum Infectious Diseases. 9
Background Our understanding of SARS-CoV-2 evolution is limited. Most estimates arise from analysis of global databases populated with unrelated sequences and is currently estimated at ∼27.7 substitutions/genome/year. SARS-CoV-2 polymerase contains