Prediction of drug degradants using DELPHI: An expert system for focusing knowledge

被引:12
|
作者
Pole, David L.
Ando, Howard Y.
Murphy, Sean T.
机构
[1] Pfizer Global Res & Dev, Res Formulat Dept, Ann Arbor, MI 48105 USA
[2] Pfizer Global Res & Dev, Dept Chem, Ann Arbor, MI 48105 USA
关键词
expert system; drug degradation; stability; stress testing; prediction; institutional knowledge;
D O I
10.1021/mp060103+
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
DELPHI is an expert system that has been developed to predict possible degradants of pharmaceutical compounds under stress testing conditions. It has been programmed with the objective of finding relevant degradation pathways, identifying degradant structures, and providing tools to the analytical chemist to assist in degradation identification. The system makes degradant predictions based on the chemical structure of the drug molecule and precedent from a broad survey of the literature. A description of DELPHI's treatment of molecular perception is described as are many features of the heuristic degradation rules it uses to capture and apply chemical degradation knowledge. DELPHI's utility for capturing institutional knowledge is discussed in relation to an analysis of degradation prediction results for 250 molecules of diverse chemical structure collected over 5 years of use. As such, it provides a reliable, convenient, and rapid tool for evaluating potential pathways of chemical instability of pharmaceuticals.
引用
收藏
页码:539 / 549
页数:11
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