Identification of evolutionarily stable functional and immunogenic sites across the SARS-CoV-2 proteome and greater coronavirus family | Zendy

Chen Wang | Zendy; Daniel M. Konecki | Zendy; David C. Marciano | Zendy; Harikumar Govindarajan | Zendy; Amanda M. Williams | Zendy; Brigitta Wastuwidyaningtyas | Zendy; Thomas Bourquard | Zendy; Panagiotis Katsonis | Zendy; Olivier Lichtarge | Zendy

Open Access

Identification of evolutionarily stable functional and immunogenic sites across the SARS-CoV-2 proteome and greater coronavirus family

Author(s) -

Chen Wang,

Daniel M. Konecki,

David C. Marciano,

Harikumar Govindarajan,

Amanda M. Williams,

Brigitta Wastuwidyaningtyas,

Thomas Bourquard,

Panagiotis Katsonis,

Olivier Lichtarge

Publication year - 2021

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btab406

Subject(s) - identification (biology) , covid-19 , proteome , coronavirus , biology , virology , computational biology , immune escape , coronavirus infections , betacoronavirus , genetics , medicine , immune system , outbreak , infectious disease (medical specialty) , disease , pathology , botany

Since the first recognized case of COVID-19, more than 100 million people have been infected worldwide. Global efforts in drug and vaccine development to fight the disease have yielded vaccines and drug candidates to cure COVID-19. However, the spread of SARS-CoV-2 variants threatens the continued efficacy of these treatments. In order to address this, we interrogate the evolutionary history of the entire SARS-CoV-2 proteome to identify evolutionarily conserved functional sites that can inform the search for treatments with broader coverage across the coronavirus family.

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