EVIHVR
EVIHVR analyzes expression, genetic variation, and predicted receptor status of human virus receptors to characterize receptor-mediated viral entry and identify candidate receptor proteins.
Key Features:
- Receptor Expression Function: Analyzes expression levels of human virus receptors across tissues and cell types to inform tissue tropism and receptor availability.
- Receptor Gene Polymorphism Function: Examines genetic polymorphisms of receptor genes across diverse populations and tissue types to assess variability that may affect susceptibility and disease outcomes.
- Predict Receptor Function: Uses differential expression analysis to identify candidate proteins whose expression patterns suggest potential roles as virus receptors.
Scientific Applications:
- Tissue tropism analysis: Correlates receptor expression profiles with tissue and cell-type specificity to infer viral tropism.
- Host genetic susceptibility: Relates receptor gene polymorphisms to population-level differences in susceptibility and clinical outcomes.
- Novel receptor discovery: Prioritizes candidate receptor proteins for experimental validation based on differential expression signatures.
- Viral-host interaction studies: Supports investigation of how receptor expression and variation influence virus entry and host-pathogen interactions.
Methodology:
Analyzes receptor expression across tissues and cell types, examines receptor gene polymorphisms across populations and tissue types, and applies differential expression analysis to predict candidate virus receptors.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 4/19/2024
- Last Updated:
- 11/24/2024
Operations
Publications
Zhang Z, Cai Z, Mao L, Ge X, Peng Y. EVIHVR: A platform for analysis of expression, variation and identification of human virus receptors. Infectious Medicine. 2022;1(1):59-62. doi:10.1016/j.imj.2022.01.001. PMID:38074977. PMCID:PMC10699670.
PMID: 38074977
PMCID: PMC10699670
Funding: - National Natural Science Foundation of China: 32170651
- Natural Science Foundation of Hunan Province: 2020JJ3006