Facilitating Antiviral Drug Discovery Using Genetic and Evolutionary Knowledge

Over the course of human history, billions of people worldwide have been infected by various viruses. Despite rapid progress in the development of biomedical techniques, it is still a significant challenge to find promising new antiviral targets and drugs. In the past, antiviral drugs mainly targete...

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Main Authors: Xuan Xu, Qing-Ye Zhang, Xin-Yi Chu, Yuan Quan, Bo-Min Lv, Hong-Yu Zhang
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Viruses
Subjects:
Online Access:https://www.mdpi.com/1999-4915/13/11/2117
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author Xuan Xu
Qing-Ye Zhang
Xin-Yi Chu
Yuan Quan
Bo-Min Lv
Hong-Yu Zhang
author_facet Xuan Xu
Qing-Ye Zhang
Xin-Yi Chu
Yuan Quan
Bo-Min Lv
Hong-Yu Zhang
author_sort Xuan Xu
collection DOAJ
description Over the course of human history, billions of people worldwide have been infected by various viruses. Despite rapid progress in the development of biomedical techniques, it is still a significant challenge to find promising new antiviral targets and drugs. In the past, antiviral drugs mainly targeted viral proteins when they were used as part of treatment strategies. Since the virus mutation rate is much faster than that of the host, such drugs feature drug resistance and narrow-spectrum antiviral problems. Therefore, the targeting of host molecules has gradually become an important area of research for the development of antiviral drugs. In recent years, rapid advances in high-throughput sequencing techniques have enabled numerous genetic studies (such as genome-wide association studies (GWAS), clustered regularly interspersed short palindromic repeats (CRISPR) screening, etc.) for human diseases, providing valuable genetic and evolutionary resources. Furthermore, it has been revealed that successful drug targets exhibit similar genetic and evolutionary features, which are of great value in identifying promising drug targets and discovering new drugs. Considering these developments, in this article the authors propose a host-targeted antiviral drug discovery strategy based on knowledge of genetics and evolution. We first comprehensively summarized the genetic, subcellular location, and evolutionary features of the human genes that have been successfully used as antiviral targets. Next, the summarized features were used to screen novel druggable antiviral targets and to find potential antiviral drugs, in an attempt to promote the discovery of new antiviral drugs.
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spelling doaj.art-b984cdd4471a4579aa7553bc8ff59e092023-11-23T01:55:06ZengMDPI AGViruses1999-49152021-10-011311211710.3390/v13112117Facilitating Antiviral Drug Discovery Using Genetic and Evolutionary KnowledgeXuan Xu0Qing-Ye Zhang1Xin-Yi Chu2Yuan Quan3Bo-Min Lv4Hong-Yu Zhang5Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, ChinaHubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, ChinaHubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, ChinaHubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, ChinaHubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, ChinaHubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan 430070, ChinaOver the course of human history, billions of people worldwide have been infected by various viruses. Despite rapid progress in the development of biomedical techniques, it is still a significant challenge to find promising new antiviral targets and drugs. In the past, antiviral drugs mainly targeted viral proteins when they were used as part of treatment strategies. Since the virus mutation rate is much faster than that of the host, such drugs feature drug resistance and narrow-spectrum antiviral problems. Therefore, the targeting of host molecules has gradually become an important area of research for the development of antiviral drugs. In recent years, rapid advances in high-throughput sequencing techniques have enabled numerous genetic studies (such as genome-wide association studies (GWAS), clustered regularly interspersed short palindromic repeats (CRISPR) screening, etc.) for human diseases, providing valuable genetic and evolutionary resources. Furthermore, it has been revealed that successful drug targets exhibit similar genetic and evolutionary features, which are of great value in identifying promising drug targets and discovering new drugs. Considering these developments, in this article the authors propose a host-targeted antiviral drug discovery strategy based on knowledge of genetics and evolution. We first comprehensively summarized the genetic, subcellular location, and evolutionary features of the human genes that have been successfully used as antiviral targets. Next, the summarized features were used to screen novel druggable antiviral targets and to find potential antiviral drugs, in an attempt to promote the discovery of new antiviral drugs.https://www.mdpi.com/1999-4915/13/11/2117geneticsevolutionhost receptors
spellingShingle Xuan Xu
Qing-Ye Zhang
Xin-Yi Chu
Yuan Quan
Bo-Min Lv
Hong-Yu Zhang
Facilitating Antiviral Drug Discovery Using Genetic and Evolutionary Knowledge
Viruses
genetics
evolution
host receptors
title Facilitating Antiviral Drug Discovery Using Genetic and Evolutionary Knowledge
title_full Facilitating Antiviral Drug Discovery Using Genetic and Evolutionary Knowledge
title_fullStr Facilitating Antiviral Drug Discovery Using Genetic and Evolutionary Knowledge
title_full_unstemmed Facilitating Antiviral Drug Discovery Using Genetic and Evolutionary Knowledge
title_short Facilitating Antiviral Drug Discovery Using Genetic and Evolutionary Knowledge
title_sort facilitating antiviral drug discovery using genetic and evolutionary knowledge
topic genetics
evolution
host receptors
url https://www.mdpi.com/1999-4915/13/11/2117
work_keys_str_mv AT xuanxu facilitatingantiviraldrugdiscoveryusinggeneticandevolutionaryknowledge
AT qingyezhang facilitatingantiviraldrugdiscoveryusinggeneticandevolutionaryknowledge
AT xinyichu facilitatingantiviraldrugdiscoveryusinggeneticandevolutionaryknowledge
AT yuanquan facilitatingantiviraldrugdiscoveryusinggeneticandevolutionaryknowledge
AT bominlv facilitatingantiviraldrugdiscoveryusinggeneticandevolutionaryknowledge
AT hongyuzhang facilitatingantiviraldrugdiscoveryusinggeneticandevolutionaryknowledge