Prediction of the effects of the top 10 nonsynonymous variants from 30229 SARS-CoV-2 strains on their proteins.

Sia, Boon Zhan; Boon, Wan Xin; Yap, Yoke Yee; Kumar, Shalini; Ng, Chong Han

Sia, Boon Zhan; Boon, Wan Xin; Yap, Yoke Yee; Kumar, Shalini; Ng, Chong Han.

Afiliación

Sia BZ; Faculty of Information Science and Technology, Multimedia University, Bukit Beruang, Melaka, 75450, Malaysia.
Boon WX; Faculty of Information Science and Technology, Multimedia University, Bukit Beruang, Melaka, 75450, Malaysia.
Yap YY; Faculty of Information Science and Technology, Multimedia University, Bukit Beruang, Melaka, 75450, Malaysia.
Kumar S; Faculty of Information Science and Technology, Multimedia University, Bukit Beruang, Melaka, 75450, Malaysia.
Ng CH; Faculty of Information Science and Technology, Multimedia University, Bukit Beruang, Melaka, 75450, Malaysia.

F1000Res ; 11: 9, 2022.

Article en En | MEDLINE | ID: mdl-35707000

Asunto(s)

COVID-19; SARS-CoV-2; Brotes de Enfermedades; Genoma Viral; Humanos; SARS-CoV-2/genética; Glicoproteína de la Espiga del Coronavirus/química

Palabras clave

COVID-19; SARS-CoV-2; co-mutation; nonsynonymous mutation

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: F1000Res Año: 2022 Tipo del documento: Article País de afiliación: Malasia

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