Construction of a drug screening database based on animal models
Author:
Affiliation:

1. Institute of Laboratory Animal Sciences, CAMS & PUMC, National Human Diseases Animal Model Resource Center, NHC Key Laboratory of Human Disease 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. 2. Nutshell Biotech (Shanghai) Co., Ltd., Shanghai 200000

  • Article
  • | |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • | |
  • Comments
    Abstract:

    Objective To systematically sort and integrate literature on drug screening and evaluation data based on cell and animal models, extract important fields, and construct an animal model drug screening database. Methods We formulated animal model drug screening data collection forms and collection specifications, retrieved animal model drug screening literature in accordance with the retrieval strategy, extracted keywords and data, pretreatment, integration, and analysis, visually displayed the drug screening experimental data. Results The animal model drug screening database was mainly based on cell and animal model drug evaluation experiments, covering basic information, experimental grouping, experimental method, animal phenotypes, and drug evaluation information, and visualizing the phenotypic data. A total of 691 animal model drug screening experimental datasets were obtained, which realized the integration and sharing of animal model drug screening experimental data. Conclusions We established an animal model drug screening database, mainly based on cell and animal data to provide data support for drug screening and promote data-driven biomedical innovation research and novel drug discovery.

    Reference
    Related
    Cited by
Get Citation
Related Videos

Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:March 03,2023
  • Online: September 06,2023
Article QR Code