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
Funding: - National Natural Science Foundation of China: 32170651 - Natural Science Foundation of Hunan Province: 2020JJ3006