Ebolabase
Ebolabase compiles an integrated database of experimentally verified Ebola virus (EBOV)–human protein interactions to support analysis of EBOV pathogenesis and drug repurposing.
Key Features:
- Extensive Data Collection: Aggregates data on 270 human proteins with published experimental evidence of interaction with EBOV.
- Network Visualization: Generates protein–protein interaction networks focusing on EBOV–human interactions and EBOV–Human–Drugs networks.
- Drug Repurposing Insights: Integrates interaction networks with existing drug data to identify and prioritize repurposing candidates for EBOV treatment.
- Gene Enrichment and Pathway Analysis: Performs gene enrichment and pathway analysis to characterize biological processes associated with EBOV–human interactions.
- Integration with Other Repositories: Links interaction data to external resources on epitopes, structures, literature, genomics, and proteomics.
Scientific Applications:
- Mapping EBOV–human interactions: Provides a curated resource for identifying and studying experimentally validated EBOV–human protein interactions.
- Drug repurposing and candidate prioritization: Supports identification and prioritization of existing drugs for potential EBOV therapeutic use based on interaction networks.
- Pathway and target discovery: Enables identification of host biological pathways and candidate human protein targets implicated in EBOV pathogenesis.
Methodology:
Curated interaction data from published experimental studies, constructed protein–protein interaction networks including integration with drug data, and analyzed networks using gene enrichment and pathway analysis to identify potential drug targets and therapeutic pathways.
Topics
Details
- Tool Type:
- web application
- Added:
- 9/8/2021
- Last Updated:
- 9/13/2021
Operations
Publications
Muthaiyan M, Naorem LD, Seenappa V, Pushan SS, Venkatesan A. Ebolabase: Zaire ebolavirus-human protein interaction database for drug-repurposing. International Journal of Biological Macromolecules. 2021;182:1384-1391. doi:10.1016/j.ijbiomac.2021.04.184. PMID:34015403.