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. 2022 Feb 19;1(1):59-62.
doi: 10.1016/j.imj.2022.01.001. eCollection 2022 Mar.

EVIHVR: A platform for analysis of expression, variation and identification of human virus receptors

Zheng Zhang  1 , Zena Cai  1 , Longfei Mao  1 , Xing-Yi Ge  1 , Yousong Peng  1
Affiliations

EVIHVR: A platform for analysis of expression, variation and identification of human virus receptors

Zheng Zhang et al. Infect Med (Beijing). .

Abstract

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/#/.

Keywords: Genetic polymorphism; Human-infecting virus; Receptor identification; Virus receptor; Web services.

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Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Image, graphical abstract
Graphical abstract
Fig 1
Fig 1
Overview of the structure in EVIHVR.
See this image and copyright information in PMC

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