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
| Autor: | Gildardo Rivera, Diana P. Portales-Pérez, Xianwu Guo, Julio Enrique Castañeda-Delgado, José Antonio Enciso-Moreno, Yamelie A. Martínez, Edgar E. Lara-Ramírez, Carlos A. García-Pérez |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
RNA viruses
Viral Diseases Proteome Coronaviruses viruses Protein Sequencing medicine.disease_cause Pathology and Laboratory Medicine Biochemistry Database and Informatics Methods Protein sequencing Medical Conditions Databases Genetic Medicine and Health Sciences Coronavirus Multidisciplinary Molecular mimicry Infectious Diseases 3did Severe acute respiratory syndrome-related coronavirus Medical Microbiology Viral Pathogens Host-Pathogen Interactions Viruses Middle East Respiratory Syndrome Coronavirus Medicine Pathogens SARS CoV 2 Coronavirus Infections Sequence Analysis Research Article SARS coronavirus Viral protein Bioinformatics Science Protein domain Computational biology Biology Research and Analysis Methods Microbiology Betacoronavirus Viral Proteins Protein Domains Sequence Motif Analysis medicine Humans Protein Interaction Domains and Motifs Molecular Biology Techniques Sequencing Techniques Microbial Pathogens Molecular Biology SARS-CoV-2 Reverse vaccinology Molecular Mimicry Organisms COVID-19 Biology and Life Sciences Proteins Covid 19 |
| Zdroj: | PLoS ONE, Vol 16, Iss 2, p e0246901 (2021) PLoS ONE PLoS ONE 16:e0246901 (2021) |
| ISSN: | 1932-6203 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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