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In Silico Analysis of the Effects of Omicron Spike Amino Acid Changes on the Interactions with Human Proteins.
D'Arminio, Nancy; Giordano, Deborah; Scafuri, Bernardina; Biancaniello, Carmen; Petrillo, Mauro; Facchiano, Angelo; Marabotti, Anna.
Afiliación
  • D'Arminio N; Department of Chemistry and Biology "A. Zambelli", University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy.
  • Giordano D; National Research Council, Institute of Food Science, 83100 Avellino, Italy.
  • Scafuri B; Department of Chemistry and Biology "A. Zambelli", University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy.
  • Biancaniello C; Department of Electrical Engineering and Information Technology, University of Naples "Federico II", 80128 Naples, Italy.
  • Petrillo M; Seidor Italy SRL, 21029 Milan, Italy.
  • Facchiano A; National Research Council, Institute of Food Science, 83100 Avellino, Italy.
  • Marabotti A; Department of Chemistry and Biology "A. Zambelli", University of Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy.
Molecules ; 27(15)2022 Jul 28.
Article en En | MEDLINE | ID: mdl-35956778
The SARS-CoV-2 variant Omicron is characterized, among others, by more than 30 amino acid changes occurring on the spike glycoprotein with respect to the original SARS-CoV-2 spike protein. We report a comprehensive analysis of the effects of the Omicron spike amino acid changes in the interaction with human antibodies, obtained by modeling them into selected publicly available resolved 3D structures of spike-antibody complexes and investigating the effects of these mutations at structural level. We predict that the interactions of Omicron spike with human antibodies can be either negatively or positively affected by amino acid changes, with a predicted total loss of interactions only in a few complexes. Moreover, our analysis applied also to the spike-ACE2 interaction predicts that these amino acid changes may increase Omicron transmissibility. Our approach can be used to better understand SARS-CoV-2 transmissibility, detectability, and epidemiology and represents a model to be adopted also in the case of other variants.
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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 Límite: Humans Idioma: En Revista: Molecules Asunto de la revista: BIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Italia

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