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.

Links