Your browser doesn't support javascript.
loading
Bioinformatics studies on a function of the SARS-CoV-2 spike glycoprotein as the binding of host sialic acid glycans.
Robson, B.
  • Robson B; Ingine Inc. Cleveland Ohio USA and the Dirac Foundation, Oxfordshire, UK. Electronic address: barryrobson@ingine.com.
Comput Biol Med ; 122: 103849, 2020 07.
Article en En | MEDLINE | ID: mdl-32658736
ABSTRACT
SARS-CoV and SARS-CoV-2 do not appear to have functions of a hemagglutinin and neuraminidase. This is a mystery, because sugar binding activities appear essential to many other viruses including influenza and even most other coronaviruses in order to bind to and escape from the glycans (sugars, oligosaccharides or polysaccharides) characteristic of cell surfaces and saliva and mucin. The S1 N terminal Domains (S1-NTD) of the spike protein, largely responsible for the bulk of the characteristic knobs at the end of the spikes of SARS-CoV and SARS-CoV-2, are here predicted to be "hiding" sites for recognizing and binding glycans containing sialic acid. This may be important for infection and the ability of the virus to locate ACE2 as its known main host cell surface receptor, and if so it becomes a pharmaceutical target. It might even open up the possibility of an alternative receptor to ACE2. The prediction method developed, which uses amino acid residue sequence alone to predict domains or proteins that bind to sialic acids, is naïve, and will be advanced in future work. Nonetheless, it was surprising that such a very simple approach was so useful, and it can easily be reproduced in a very few lines of computer program to help make quick comparisons between SARS-CoV-2 sequences and to consider the effects of viral mutations.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neumonía Viral / Infecciones por Coronavirus / Biología Computacional / Glicoproteína de la Espiga del Coronavirus / Betacoronavirus Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neumonía Viral / Infecciones por Coronavirus / Biología Computacional / Glicoproteína de la Espiga del Coronavirus / Betacoronavirus Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2020 Tipo del documento: Article