Your browser doesn't support javascript.
loading
Predicted structural mimicry of spike receptor-binding motifs from highly pathogenic human coronaviruses
Christopher A Beaudoin; Arian Rokkum Jamasb; Ali Alsulami; Liviu Copoiu; Andries J van Tonder; Sharif Hala; Bridget P Bannerman; Sherine E Thomas; Sundeep Chaitanya Vedithi; Pedro H M Torres; Tom L Blundell.
Afiliação
  • Christopher A Beaudoin; University of Cambridge
  • Arian Rokkum Jamasb; University of Cambridge
  • Ali Alsulami; University of Cambridge
  • Liviu Copoiu; University of Cambridge
  • Andries J van Tonder; University of Cambridge
  • Sharif Hala; King Saud bin Abdulaziz University for Health Sciences
  • Bridget P Bannerman; University of Cambridge
  • Sherine E Thomas; University of Cambridge
  • Sundeep Chaitanya Vedithi; University of Cambridge
  • Pedro H M Torres; Universidade Federal do Rio de Janeiro
  • Tom L Blundell; University of Cambridge
Preprint em En | PREPRINT-BIORXIV | ID: ppbiorxiv-441187
Artigo de periódico
Um artigo publicado em periódico científico está disponível e provavelmente é baseado neste preprint, por meio do reconhecimento de similaridade realizado por uma máquina. A confirmação humana ainda está pendente.
Ver artigo de periódico
ABSTRACT
Viruses often encode proteins that mimic host proteins in order to facilitate infection. Little work has been done to understand the potential mimicry of the SARS-CoV-2, SARS-CoV, and MERS-CoV spike proteins, particularly the receptor-binding motifs, which could be important in determining tropism of the virus. Here, we use structural bioinformatics software to characterize potential mimicry of the three coronavirus spike protein receptor-binding motifs. We utilize sequence-independent alignment tools to compare structurally known or predicted three-dimensional protein models with the receptor-binding motifs and verify potential mimicry with protein docking simulations. Both human and non-human proteins were found to be similar to all three receptor-binding motifs. Similarity to human proteins may reveal which pathways the spike protein is co-opting, while analogous non-human proteins may indicate shared host interaction partners and overlapping antibody cross-reactivity. These findings can help guide experimental efforts to further understand potential interactions between human and coronavirus proteins. HighlightsO_LIPotential coronavirus spike protein mimicry revealed by structural comparison C_LIO_LIHuman and non-human protein potential interactions with virus identified C_LIO_LIPredicted structural mimicry corroborated by protein-protein docking C_LIO_LIEpitope-based alignments may help guide vaccine efforts C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=111 SRC="FIGDIR/small/441187v1_ufig1.gif" ALT="Figure 1"> View larger version (22K) org.highwire.dtl.DTLVardef@1f09454org.highwire.dtl.DTLVardef@19a5557org.highwire.dtl.DTLVardef@158d3fdorg.highwire.dtl.DTLVardef@c59511_HPS_FORMAT_FIGEXP M_FIG C_FIG
Licença
cc_no
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-BIORXIV Tipo de estudo: Prognostic_studies / Rct Idioma: En Ano de publicação: 2021 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-BIORXIV Tipo de estudo: Prognostic_studies / Rct Idioma: En Ano de publicação: 2021 Tipo de documento: Preprint