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Martínez, Y.A.* ; Guo, X.* ; Portales-Pérez, D.P.* ; Rivera, G.* ; Castañeda-Delgado, J.E.* ; Garcia Perez, C. ; Enciso-Moreno, J.A.* ; Lara-Ramírez, E.E.*

The analysis on the human protein domain targets and host-like interacting motifs for the MERS-CoV and SARS-CoV/CoV-2 infers the molecular mimicry of coronavirus.

PLoS ONE 16:e0246901 (2021)

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The MERS-CoV, SARS-CoV, and SARS-CoV-2 are highly pathogenic viruses that can cause severe pneumonic diseases in humans. Unfortunately, there is a non-available effective treatment to combat these viruses. Domain-motif interactions (DMIs) are an essential means by which viruses mimic and hijack the biological processes of host cells. To disentangle how viruses achieve this process can help to develop new rational therapies. Data mining was performed to obtain DMIs stored as regular expressions (regexp) in 3DID and ELM databases. The mined regexp information was mapped on the coronaviruses’ proteomes. Most motifs on viral protein that could interact with human proteins are shared across the coronavirus species, indicating that molecular mimicry is a common strategy for coronavirus infection. Enrichment ontology analysis for protein domains showed a shared biological process and molecular function terms related to carbon source utilization and potassium channel regulation. Some of the mapped motifs were nested on B, and T cell epitopes, suggesting that it could be as an alternative way for reverse vaccinology. The information obtained in this study could be used for further theoretic and experimental explorations on coronavirus infection mechanism and development of medicines for treatment.

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Publication type Article: Journal article

Document type Scientific Article

Corresponding Author

ISSN (print) / ISBN 1932-6203

Journal PLoS ONE

Quellenangaben Volume: 16, Issue: 2, Article Number: e0246901

Publisher Public Library of Science (PLoS)

Publishing Place Lawrence, Kan.

Non-patent literature Publications

Reviewing status Peer reviewed

Institute(s) Institute of Computational Biology (ICB)

Grants CONACYT