オントロジーとシミュレーションを用いたハイブリッド型薬物間相互作用予測システムの設計思想(<論文特集>安全安心シミュレーション)

概要

論文の詳細を見る
In accordance with the increasing amount of information concerning individual differences in drug response and molecular interaction events, the role of in silico prediction of drug interaction events under a pathway level will become more important. However, in view of inferences for identification of new drug interaction events, most conventional biological pathway models, which have a priori fixed, would have limitations. As a reflection of real world biological events triggered by a stimulus, it would be important to detect conflicts on drug-metabolic pathways generated dynamically depending on biological context. In addition, quantitative simulation is necessary to evaluate the degree of incidence caused by the conflict. In this paper, we will demonstrate the unified approach of ontology and simulation to predict the drug-drug interaction among multiple-dosing with irinotecan (CPT-11) and ketoconazole as an example.
日本シミュレーション学会の論文
2007-12-15