Literature DB >> 33139971

Adding evidence type representation to DIDEO.

Mathias Brochhausen1, Philip E Empey2, Jodi Schneider3, William R Hogan4, Richard D Boyce3.   

Abstract

In this poster we present novel development and extension of the Drug-drug Interaction and Drug-drug Interaction Evidence Ontology (DIDEO). We demonstrate how reasoning over this extension of DIDEO can a) automatically create a multi-level hierarchy of evidence types from descriptions of the underlying scientific observations and b) automatically subsume individual evidence items under the correct evidence type. Thus DIDEO will enable evidence items added manually by curators to be automatically categorized into a drug-drug interaction framework with precision and minimal effort from curators. As with all previous DIDEO development this extension is consistent with OBO Foundry principles.

Entities:  

Keywords:  biomedical ontologies; drug-drug interaction; evidence types; potential drug-drug interaction

Year:  2016        PMID: 33139971      PMCID: PMC7603805     

Source DB:  PubMed          Journal:  CEUR Workshop Proc        ISSN: 1613-0073


  6 in total

1.  Ontological realism: A methodology for coordinated evolution of scientific ontologies.

Authors:  Barry Smith; Werner Ceusters
Journal:  Appl Ontol       Date:  2010-11-15       Impact factor: 1.115

2.  Biodynamic ontology: applying BFO in the biomedical domain.

Authors:  Pierre Grenon; Barry Smith; Louis Goldberg
Journal:  Stud Health Technol Inform       Date:  2004

3.  The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration.

Authors:  Barry Smith; Michael Ashburner; Cornelius Rosse; Jonathan Bard; William Bug; Werner Ceusters; Louis J Goldberg; Karen Eilbeck; Amelia Ireland; Christopher J Mungall; Neocles Leontis; Philippe Rocca-Serra; Alan Ruttenberg; Susanna-Assunta Sansone; Richard H Scheuermann; Nigam Shah; Patricia L Whetzel; Suzanna Lewis
Journal:  Nat Biotechnol       Date:  2007-11       Impact factor: 54.908

4.  Towards a foundational representation of potential drug-drug interaction knowledge.

Authors:  Mathias Brochhausen; Jodi Schneider; Daniel Malone; Philip E Empey; William R Hogan; Richard D Boyce
Journal:  CEUR Workshop Proc       Date:  2014-10

5.  Computing with evidence Part II: An evidential approach to predicting metabolic drug-drug interactions.

Authors:  Richard Boyce; Carol Collins; John Horn; Ira Kalet
Journal:  J Biomed Inform       Date:  2009-06-16       Impact factor: 6.317

6.  Computing with evidence Part I: A drug-mechanism evidence taxonomy oriented toward confidence assignment.

Authors:  Richard Boyce; Carol Collins; John Horn; Ira Kalet
Journal:  J Biomed Inform       Date:  2009-05-10       Impact factor: 6.317

  6 in total

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