Paper Info
Title
Development of description framework of pharmacodynamics ontology and its application to possible drug-drug interaction reasoning.
Abstract
Prediction of synergistic or antagonistic effects of drug-drug interaction (DDI) in vivo has been of considerable interest over the years. Formal representation of pharmacological knowledge such as ontology is indispensable for machine reasoning of possible DDIs. However, current pharmacology knowledge bases are not sufficient to provide formal representation of DDI information. With this background, this paper presents: (1) a description framework of pharmacodynamics ontology; and (2) a methodology to utilize pharmacodynamics ontology to detect different types of possible DDI pairs with supporting information such as underlying pharmacodynamics mechanisms. We also evaluated our methodology in the field of drugs related to noradrenaline signal transduction process and 11 different types of possible DDI pairs were detected. The main features of our methodology are the explanation capability of the reason for possible DDIs and the distinguishability of different types of DDIs. These features will not only be useful for providing supporting information to prescribers, but also for large-scale monitoring of drug safety.
Year
DOI
Venue
2013
10.3233/978-1-61499-289-9-567
Studies in Health Technology and Informatics
Keywords
Field
DocType
Pharmacodynamics,Drug-drug interaction,Ontology,Knowledge representation,Machine reasoning
Ontology (information science),Drug-drug interaction,Data mining,Ontology,Process ontology,Knowledge management,Pharmacodynamics,Medicine
Conference
Volume
ISSN
Citations 
192
0926-9630
2
PageRank 
References 
Authors
0.39
0
3
Name
Order
Citations
PageRank
Takeshi Imai1427.31
Masayo Hayakawa220.73
Kazuhiko Ohe311515.91