Understanding of Zaire ebolavirus-human protein interaction for drug repurposing.
Mathavan MuthaiyanShilpa Sri PushanLeimarembi Devi NaoremAmouda VenkatesanPublished in: Virusdisease (2020)
The Ebola virus is a human aggressive pathogen causes Ebola virus disease that threatens public health, for which there is no Food Drug Administration approved medication. Drug repurposing is an alternative method to find the novel indications of known drugs to treat the disease effectively at low cost. The present work focused on understanding the host-virus interaction as well as host virus drug interaction to identify the disease pathways and host-directed drug targets. Thus, existing direct physical Ebola-human protein-protein interaction (PPI) was collected from various publicly available databases and also literature through manual curation. Further, the functional and pathway enrichment analysis for the proteins were performed using database for annotation, visualization, and integrated discovery and the enriched gene ontology biological process terms includes chromatin assembly or disassembly, nucleosome organization, nucleosome assembly. Also, the enriched Kyoto Encyclopedia of Genes and Genome pathway terms includes systemic lupus erythematosus, alcoholism, and viral carcinogenesis. From the PPI network, important large histone clusters and tubulin were observed. Further, the host-virus and host-virus-drug interaction network has been generated and found that 182 drugs are associated with 45 host genes. The obtained drugs and their interacting targets could be considered for Ebola treatment.
Keyphrases
- protein protein
- endothelial cells
- small molecule
- public health
- genome wide
- adverse drug
- systemic lupus erythematosus
- low cost
- drug administration
- drug induced
- systematic review
- pluripotent stem cells
- dna methylation
- gene expression
- healthcare
- transcription factor
- genome wide identification
- emergency department
- machine learning
- oxidative stress
- candida albicans
- rheumatoid arthritis
- high throughput
- mental health
- deep learning
- genome wide analysis
- replacement therapy
- disease activity
- amino acid
- bioinformatics analysis
- combination therapy
- protein kinase