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
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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. © 2021 Martínez et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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epitope; potassium channel; viral protein; proteome; viral protein; Article; carbon source; data mining; human; Middle East respiratory syndrome coronavirus; molecular mimicry; nonhuman; protein database; protein domain; protein function; protein motif; protein protein interaction; SARS coronavirus; Severe acute respiratory syndrome coronavirus 2; virus cell interaction; Betacoronavirus; Coronavirus infection; genetic database; genetics; host pathogen interaction; immunology; metabolism; Middle East respiratory syndrome coronavirus; molecular mimicry; physiology; protein domain; SARS coronavirus; virology; Betacoronavirus; Coronavirus Infections; COVID-19; Databases, Genetic; Host-Pathogen Interactions; Humans; Middle East Respiratory Syndrome Coronavirus; Molecular Mimicry; Protein Domains; Protein Interaction Domains and Motifs; Proteome; SARS Virus; SARS-CoV-2; Viral Proteins
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