Facilitating Antiviral Drug Discovery Using Genetic and Evolutionary Knowledge

Author:

Xu XuanORCID,Zhang Qing-Ye,Chu Xin-Yi,Quan Yuan,Lv Bo-Min,Zhang Hong-YuORCID

Abstract

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.

Funder

Special Projects for Technological Innovation in Hubei

Publisher

MDPI AG

Subject

Virology,Infectious Diseases

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. GETdb: A comprehensive database for genetic and evolutionary features of drug targets;Computational and Structural Biotechnology Journal;2024-12

2. Host- and genomics-based antiviral approaches;Microbial Genomics: Clinical, Pharmaceutical, and Industrial Applications;2024

3. Natural products as potential lead compounds to develop new antiviral drugs over the past decade;European Journal of Medicinal Chemistry;2023-11

4. Evolution-strengthened knowledge graph enables predicting the targetability and druggability of genes;PNAS Nexus;2023-04-26

5. PhyloTraVis: A New Approach to Visualization of the Phylogenetic Tree;Programming and Computer Software;2022-05-30

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