Studies in health technology and informatics
Jan 1, 2017
In this research we aim to demonstrate that an ontology-based system can categorize potential drug-drug interaction (PDDI) evidence items into complex types based on a small set of simple questions. Such a method could increase the transparency and r...
Studies in health technology and informatics
Jan 1, 2017
Drug and supplement interactions (DSIs) have drawn widespread attention due to their potential to affect therapeutic response and adverse event risk. Electronic health records provide a valuable source where the signals of DSIs can be identified and ...
Database : the journal of biological databases and curation
Jan 1, 2017
Drug-drug interaction (DDI), which is a specific type of adverse drug reaction, occurs when a drug influences the level or activity of another drug. Natural language processing techniques can provide health-care professionals with a novel way of redu...
Revista chilena de infectologia : organo oficial de la Sociedad Chilena de Infectologia
Oct 1, 2016
INTRODUCTION: Antiretroviral agents (ARVs) have a high potential for drug interactions. However, the prevalence and risk factors for clinically significant drug-drug interactions (CSDDIs) with ARVs from Latin American countries is unknown.
Combinatorial chemistry & high throughput screening
Jan 1, 2016
The Human Pregnane X Receptor (hPXR) is a regulator of drug metabolising enzymes (DME) and efflux transporters (ET). The prediction of hPXR activators and non-activators has pharmaceutical importance to predict the multiple drug resistance (MDR) and ...
Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques
Jan 1, 2015
PURPOSE: The application of artificial neural networks in the pharmaceutical sciences is broad, ranging from drug discovery to clinical pharmacy. In this study, we explored the applicability of counter-propagation artificial neural networks (CPANNs),...