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

Zheng Zhang; Zena Cai; Longfei Mao; Xing-Yi Ge; Yousong Peng

doi:10.1016/j.imj.2022.01.001

Infectious Medicine 2022, 1(1): 59-62 https://doi.org/10.1016/j.imj.2022.01.001

Short Communication |

Open Access | Issue | Published: 19 February 2022

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

Show Author's Information Hide Author's Information Zheng Zhang, Zena Cai, Longfei Mao, Xing-Yi Ge, Yousong Peng(

)

Bioinformatics Center, College of Biology, Hunan Provincial Key Laboratory of Medical Virology, Hunan University, Changsha, China

Keywords:

Virus receptor, Genetic polymorphism, Receptor identification, Human-infecting virus, Web services

Cite this article:

Zhang Z, Cai Z, Mao L, et al. EVIHVR: A platform for analysis of expression, variation and identification of human virus receptors. Infectious Medicine, 2022, 1(1): 59-62. https://doi.org/10.1016/j.imj.2022.01.001

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Abstract Full text Electronic supplementary material About this article

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/#/.

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Abstract

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Electronic supplementary material

About this article

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

Show Author's information Hide Author's Information Zheng Zhang, Zena Cai, Longfei Mao, Xing-Yi Ge, Yousong Peng(

)

Bioinformatics Center, College of Biology, Hunan Provincial Key Laboratory of Medical Virology, Hunan University, Changsha, China

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

Availability and implementation

EVIHVR is publicly available at http://www.computationalbiology.cn/EVIHVR/#/.

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

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Publication history

Received: 03 November 2021

Revised: 30 December 2021

Accepted: 24 January 2022

Published: 19 February 2022

Issue date: March 2022

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Acknowledgements

We thank Margaret Biswas, PhD, from Liwen Bianji (Edanz) (http://www.liwenbianji.cn/) for editing the English text of a draft of this manuscript.

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This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)