DDIEM
DDIEM compiles a curated knowledgebase of therapeutic strategies for inborn errors of metabolism (IEM), classifying therapies by mechanism and recording outcomes for 299 distinct diseases.
Key Features:
- Ontological Classification: Therapeutic approaches are categorized by mechanisms of action and outcomes using a specialized ontology.
- Disease and Outcome Coverage: Contains data on therapeutic approaches, including both successful and ineffective treatments, for 299 distinct IEMs.
- Therapeutic Modalities and Phenotype Annotation: Includes drugs and procedures with detailed annotations of the phenotypes they address.
- Manual Curation: Entries are manually curated to ensure accuracy of therapeutic and phenotype annotations.
Scientific Applications:
- Comparative Treatment Analysis: Enables comparative analysis of mechanisms and outcomes across IEMs to inform therapeutic strategy selection.
- Target Identification: Supports identification of potential therapeutic targets by linking interventions to molecular mechanisms and phenotypes.
- Intervention Development: Facilitates development of novel intervention strategies by highlighting existing approaches and their outcomes.
Methodology:
Therapies are classified using a specialized ontology that maps mechanisms of action to therapeutic outcomes and associated phenotypes.
Topics
Details
- Tool Type:
- api, web application
- Programming Languages:
- Python
- Added:
- 1/18/2021
- Last Updated:
- 2/22/2021
Operations
Publications
Abdelhakim M, McMurray E, Syed AR, Kafkas S, Kamau AA, Schofield PN, Hoehndorf R. DDIEM: Drug Database for Inborn Errors of Metabolism. Unknown Journal. 2020. doi:10.1101/2020.01.08.897223.