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Published on: November 5, 2021
COVID-AMD database for coronavirus-infected animal models with comparative analysis tools.
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.
The COVID-AMD database offers a centralized resource for coronavirus animal models, aiding researchers in understanding transmission and developing therapeutics. This platform accelerates the identification of suitable models for MERS-CoV, SARS-CoV, and SARS-CoV-2 research.
Area of Science:
- Virology
- Immunology
- Database Development
Background:
- Coronaviruses (CoVs) present significant public health challenges, necessitating robust animal models for research.
- Existing resources for coronavirus animal models are fragmented, hindering research progress.
Purpose of the Study:
- To develop an integrated, accessible database of animal models for coronavirus research.
- To facilitate the identification and selection of appropriate animal models for studying CoV transmission, pathophysiology, and immunology.
Main Methods:
- Data extraction, transformation, and loading (ETL) from public literature databases.
- Implementation of a MySQL relational database with web technologies (jQuery, JBoss).
- Consolidation of data on animal models, virus strains, diseases, and infection routes.
Main Results:
- The COVID-AMD database (Coronavirus Disease Animal Model Database) catalogs 869 animal models across 29 species and 312 virus strains.
- Includes data on MERS-CoV, SARS-CoV, and SARS-CoV-2, detailing model establishment, clinical features, and phenotypes.
- Provides advanced search, comparative analysis, model recommendation, and omics analysis tools.
Conclusions:
- COVID-AMD serves as a vital open-access repository for coronavirus research.
- The database aims to accelerate the development and clinical progression of therapeutics and vaccines for CoV infections.
