HCoVDB: a comprehensive database encompassing viral genomes, drug targets, and therapeutics of human coronaviruses
Pan Zhang, Tianxiang Ouyang, Xiaowen Hu, Jie Huang, Biao Xiao, Zhijian Huang, Xingyang Shi, Xinyi Wu, Linying Chen, Yongkang Wu, Hanyue Wang, Ying Zhang, Guangdi Li, Hui Liu, Lei Deng
TL;DR
HCoVDB is a new database that collects genomic data, viral proteins, and antiviral drugs for all seven human coronaviruses to help combat current and future outbreaks.
Contribution
HCoVDB introduces a curated genomic dataset, a protein-drug docking platform, and detailed antiviral efficacy profiles for human coronaviruses.
Findings
HCoVDB includes over 4 million genomic sequences with annotations on amino acid substitutions affecting viral fitness and drug resistance.
The database features a protein-drug docking platform for predicting antiviral agent interactions.
It compiles antiviral agents with detailed chemical properties and efficacy metrics like IC50 and EC50.
Abstract
Over the past few decades, coronavirus outbreaks have been reported globally. To date, seven human coronaviruses have been identified, among which only SARS-CoV-2 has been extensively studied, resulting in the development of several approved antiviral drugs. To effectively combat both current and emerging coronaviruses, there is an urgent need for a comprehensive database that consolidates information on all known human coronaviruses and their potential antiviral compounds. In response, we present HCoVDB—a comprehensive database that integrates genomic data, viral proteins, and antiviral agents with demonstrated in vitro or in vivo activity against the seven human coronaviruses. Compared to existing coronavirus databases, HCoVDB offers three distinctive features: (i) a curated collection and annotation of over 4 million genomic sequences from all seven human coronaviruses, including key…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsSARS-CoV-2 and COVID-19 Research · Computational Drug Discovery Methods · COVID-19 Clinical Research Studies