EK-DRD

EK-DRD provides experimentally validated annotations for FDA-approved and withdrawn small-molecule drugs to support systematic drug repositioning and identification of new therapeutic uses.


Key Features:

  • Content scope: Annotations for 1,861 FDA-approved and 102 withdrawn small-molecule drugs.
  • Annotation levels: Target assay records (30,944), cell assay records (3,999), organism assay records (585), and clinical trial records (8,889).
  • Curation methods: Annotations obtained through text and data mining techniques complemented by manual curation.
  • Integration: Links approximately 1,799 repositioning protein or target sequences with 856 related diseases and 1,332 pathways.
  • Search modalities: Supports text, sequence, chemical structure, and relational queries.

Scientific Applications:

  • Drug repositioning discovery: Enables identification of new therapeutic uses for existing drugs by integrating assay, target, disease, and pathway data.
  • Target–disease association analysis: Facilitates exploration of relationships among repositioning protein/target sequences and associated diseases.
  • Pathway and network analysis: Supports exploration of drug-target-pathway relationships and complex biological networks to identify novel therapeutic targets and disease associations.

Methodology:

Annotations were curated using text and data mining techniques complemented by manual curation.

Topics

Details

Tool Type:
web application
Added:
11/14/2019
Last Updated:
12/25/2020

Operations

Publications

Zhao C, Dai X, Li Y, Guo Q, Zhang J, Zhang X, Wang L. EK-DRD: A Comprehensive Database for Drug Repositioning Inspired by Experimental Knowledge. Journal of Chemical Information and Modeling. 2019;59(9):3619-3624. doi:10.1021/acs.jcim.9b00365. PMID:31433187.

PMID: 31433187
Funding: - Ministry of Education of the People's Republic of China: 2018ZD37 - Natural Science Foundation of Guangdong Province: 2016A030310421 - Medical Scientific Research Foundation of Guangdong Province: A2018114, A2019021 - Science and Technology Program of Guangzhou: 201707010063