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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Xuan Xu, Qing-Ye Zhang, Xin-Yi Chu, Yuan Quan, Bo-Min Lv, Hong-Yu Zhang
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
Acceso en línea:https://doaj.org/article/b984cdd4471a4579aa7553bc8ff59e09
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:b984cdd4471a4579aa7553bc8ff59e09
record_format dspace
spelling oai:doaj.org-article:b984cdd4471a4579aa7553bc8ff59e092021-11-25T19:12:23ZFacilitating Antiviral Drug Discovery Using Genetic and Evolutionary Knowledge10.3390/v131121171999-4915https://doaj.org/article/b984cdd4471a4579aa7553bc8ff59e092021-10-01T00:00:00Zhttps://www.mdpi.com/1999-4915/13/11/2117https://doaj.org/toc/1999-4915Over 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.Xuan XuQing-Ye ZhangXin-Yi ChuYuan QuanBo-Min LvHong-Yu ZhangMDPI AGarticlegeneticsevolutionhost receptorsMicrobiologyQR1-502ENViruses, Vol 13, Iss 2117, p 2117 (2021)
institution DOAJ
collection DOAJ
language EN
topic genetics
evolution
host receptors
Microbiology
QR1-502
spellingShingle genetics
evolution
host receptors
Microbiology
QR1-502
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
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.
format article
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
title Facilitating Antiviral Drug Discovery Using Genetic and Evolutionary Knowledge
title_short 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_sort facilitating antiviral drug discovery using genetic and evolutionary knowledge
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/b984cdd4471a4579aa7553bc8ff59e09
work_keys_str_mv AT xuanxu facilitatingantiviraldrugdiscoveryusinggeneticandevolutionaryknowledge
AT qingyezhang facilitatingantiviraldrugdiscoveryusinggeneticandevolutionaryknowledge
AT xinyichu facilitatingantiviraldrugdiscoveryusinggeneticandevolutionaryknowledge
AT yuanquan facilitatingantiviraldrugdiscoveryusinggeneticandevolutionaryknowledge
AT bominlv facilitatingantiviraldrugdiscoveryusinggeneticandevolutionaryknowledge
AT hongyuzhang facilitatingantiviraldrugdiscoveryusinggeneticandevolutionaryknowledge
_version_ 1718410178239397888