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冠状病毒感染动物模型的COVID-AMD数据库与比较分析工具

Yue Wu¹, Lu Li², Kai Wang²

¹Institute of Laboratory Animal Sciences, CAMS & PUMC, National Human Diseases Animal Model Resource Center, National Center of Technology Innovation for Animal Model, NHC Key Laboratory of Comparative Medicine, Beijing Key Laboratory for Animal Models of Emerging and Reemerging Infectious Diseases, Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases, Beijing, 100021, China.

Scientific reports

|November 28, 2024

概括

COVID-AMD数据库为冠状病毒动物模型提供了一个集中资源,帮助研究人员了解传播和开发治疗方法. 这个平台加速了适合MERS-CoV,SARS-CoV和SARS-CoV-2研究的模型的识别.

科学领域:

病毒学病毒学
免疫学免疫学免疫学
数据库开发数据库开发

背景情况:

冠状病毒 (CoV) 带来了重大的公共卫生挑战,需要强大的动物模型进行研究.
对于冠状病毒动物模型的现有资源是分散的,阻碍了研究进展.

研究的目的:

开发用于冠状病毒研究的动物模型的综合,可访问的数据库.
促进识别和选择适当的动物模型来研究CoV传播,病理生理学和免疫学.

主要方法:

从公共文献数据库中提取,转换和加载数据 (ETL).
使用Web技术 (jQuery,JBoss) 实现一个MySQL关系数据库.
关于动物模型,病毒菌株,疾病和感染途径的数据的整合.

主要成果:

COVID-AMD数据库 (冠状病毒疾病动物模型数据库) 列出了29个物种和312个病毒菌株的869个动物模型.
包括MERS-CoV,SARS-CoV和SARS-CoV-2的数据,详细说明模型建立,临床特征和表型.
提供高级搜索,比较分析,模型推和omics分析工具.

结论:

COVID-AMD 作为冠状病毒研究的重要开放访问存储库.
该数据库旨在加快对Cov感染的治疗药物和疫苗的开发和临床进展.

关键词:

生物信息学是一种生物信息学.在 COVID-19 疫情中,进行比较分析.冠状病毒疾病动物模型数据库数据库数据库是一个数据库.

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