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DDIEM: drug database for inborn errors of metabolism.
Abdelhakim, Marwa; McMurray, Eunice; Syed, Ali Raza; Kafkas, Senay; Kamau, Allan Anthony; Schofield, Paul N; Hoehndorf, Robert.
Afiliação
  • Abdelhakim M; Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology, 4700 KAUST, Thuwal, 23955, Kingdom of Saudi Arabia.
  • McMurray E; Computer, Electrical and Mathematical Sciences & Engineering Division (CEMSE), King Abdullah University of Science and Technology, 4700 KAUST, Thuwal, PO 23955, Saudi Arabia.
  • Syed AR; Department of Physiology, Development & Neuroscience, University of Cambridge, Downing Street, Cambridge, CB2 3EG, United Kingdom.
  • Kafkas S; Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology, 4700 KAUST, Thuwal, 23955, Kingdom of Saudi Arabia.
  • Kamau AA; Computer, Electrical and Mathematical Sciences & Engineering Division (CEMSE), King Abdullah University of Science and Technology, 4700 KAUST, Thuwal, PO 23955, Saudi Arabia.
  • Schofield PN; Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology, 4700 KAUST, Thuwal, 23955, Kingdom of Saudi Arabia.
  • Hoehndorf R; Computer, Electrical and Mathematical Sciences & Engineering Division (CEMSE), King Abdullah University of Science and Technology, 4700 KAUST, Thuwal, PO 23955, Saudi Arabia.
Orphanet J Rare Dis ; 15(1): 146, 2020 06 11.
Article em En | MEDLINE | ID: mdl-32527280
ABSTRACT

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.

RESULTS:

We gathered data on therapeutic strategies for 300 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.

CONCLUSIONS:

We 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bases de Dados de Produtos Farmacêuticos / Erros Inatos do Metabolismo Limite: Humans Idioma: En Revista: Orphanet J Rare Dis Assunto da revista: MEDICINA Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bases de Dados de Produtos Farmacêuticos / Erros Inatos do Metabolismo Limite: Humans Idioma: En Revista: Orphanet J Rare Dis Assunto da revista: MEDICINA Ano de publicação: 2020 Tipo de documento: Article