URL: | http://ddiem.phenomebrowser.net |
Full name: | Drug Database for inborn errors of metabolism |
Description: | DDIEM is a database of therapeutic approaches to treating IEMs which have been manually extracted from the scientific literature. DDIEM currently covers 300 rare diseases along with the association of 305 genes and 584 drugs that were used to treat these diseases; these treatment attempts have been linked to 1,482 distinct disease-associated phenotypes that were influenced by these treatments. The main entity in DDIEM is the therapeutic procedure which is used to treat a metabolic disorder; these procedures are classified based on their underlying mechanism or modality. |
Year founded: | 2020 |
Last update: | 2020-06-11 |
Version: | |
Accessibility: | |
Country/Region: | Saudi Arabia |
Data type: | |
Data object: |
NA
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Database category: | |
Major species: |
NA
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Keywords: |
University/Institution: | King Abdullah University of Science and Technology |
Address: | Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology, 4700 KAUST, Thuwal, 23955 Kingdom of Saudi Arabia |
City: | Thuwal |
Province/State: | |
Country/Region: | Saudi Arabia |
Contact name (PI/Team): | Marwa Abdelhakim |
Contact email (PI/Helpdesk): | marwa.abdelhakim@kaust.edu.sa |
DDIEM: drug database for inborn errors of metabolism. [PMID: 32527280]
BACKGROUND: Inborn errors of metabolism (IEM) represent a subclass of rare inherited diseases caused by a wide range of defects in metabolic enzymes or their regulation. Of over a thousand characterized IEMs, only about half are understood at the molecular level, and overall the development of treatment and management strategies has proved challenging. An overview of the changing landscape of therapeutic approaches is helpful in assessing strategic patterns in the approach to therapy, but the information is scattered throughout the literature and public data resources. |