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Updated: Jul 8, 2025
Prediction of HIV-1 Coreceptor Usage Tropism by Sequence Analysis using a Genotypic Approach
Published on: December 1, 2011
EVIHVR: A platform for analysis of expression, variation and identification of human virus receptors
Zheng Zhang1, Zena Cai1, Longfei Mao1
1Bioinformatics Center, College of Biology, Hunan Provincial Key Laboratory of Medical Virology, Hunan University, Changsha, China.
Motivation:
Virus receptors are presented on the cell surfaces of a host and are key for viral infection of host cells. However, no unified resource for the study of viral receptors is currently available.
Results:
To address this problem, we built EVIHVR, a platform for analyzing the expression and variation, and for the identification of human virus receptors. EVIHVR provides three functions: (1) Receptor expression function for browsing and analyzing the expression of human virus receptors in various human tissues/cells; (2) Receptor gene polymorphism function for analyzing the genetic polymorphism of human virus receptors in different human populations and human tissues; and (3) Predict receptor function for identifying potential virus receptors based on differential expression analysis. EVIHVR can become a useful tool for the analysis and identification of human virus receptors.
Availability And Implementation:
EVIHVR is publicly available at http://www.computationalbiology.cn/EVIHVR/#/.
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