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Orphanet Journal of Rare DiseasesBioinformaticsPeer-reviewed journal article

DDIEM: Drug Database for Inborn Errors of Metabolism

Marwa AbdelhakimiD, Eunice McMurray, Ali Raza Syed, Şenay KafkasiD, Allan Anthony KamauiD, Paul N. SchofieldiD, Robert HoehndorfiD

PDFDOIPreprint

Abstract

BackgroundInborn 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. ResultsWe gathered data on therapeutic strategies for 299 diseases into the Drug Database for Inborn Errors of Metabolism (DDIEM). Therapeutic approaches, including both successful and ineffective treatments, were manually classified by their mechanisms of action using a new ontology. ConclusionsWe present a manually curated, ontologically formalized knowledgebase of drugs, therapeutic procedures, and mitigated phenotypes. DDIEM is freely available through a web interface and for download at http://ddiem.phenomebrowser.net.

Citations
17
FWCI
1.98
Field percentile
top 17%

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