A novel algorithm for analyzing drug-drug interactions from MEDLINE literature

Abstract

Drug–drug interaction (DDI) is becoming a serious clinical safety issue as the use of multiple medications becomes more common. Searching the MEDLINE database for journal articles related to DDI produces over 330,000 results. It is impossible to read and summarize these references manually. As the volume of biomedical reference in the MEDLINE database continues to expand at a rapid pace, automatic identification of DDIs from literature is becoming increasingly important. In this article, we present a random-sampling-based statistical algorithm to identify possible DDIs and the underlying mechanism from the substances field of MEDLINE records. The substances terms are essentially carriers of compound (including protein) information in a MEDLINE record. Four case studies on warfarin, ibuprofen, furosemide and sertraline implied that our method was able to rank possible DDIs with high accuracy (90.0% for warfarin, 83.3% for ibuprofen, 70.0% for furosemide and 100% for sertraline in the top 10% of a list of compounds ranked by p-value). A social network analysis of substance terms was also performed to construct networks between proteins and drug pairs to elucidate how the two drugs could interact.

Drug combination therapy increases successful drug repositioning

“…For approved or investigational drugs, DDIs can be found in established databases such as DrugBank or SIDER. Several methods have been developed to search existing DDIs rapidly from published results [59,60]. For relatively novel compounds, a recent study reports a similarity-based computational approach to predict PK and PD DDIs [61].…”

Risk factors for potential drug-drug interactions in a general neurology ward

“…Drug-drug interaction (DDI) could be defined as a change of a drug action when it is taken together with another drug/drugs, in terms of intensity of action, pharmacokinetic attributes or occurrence of adverse drug effects (1). Early recognition of potential DDIs gives an opportunity to prevent them, what is significant not only from healthcare provider but also from a patient point of view.…”

The Coming Age of Future Medicine: Next Frontier

“…PharmGKB offers ample information on pharmacogenetics interactions while SIDER, FDA Adverse Event Reporting System (FAERS) and DailyMed databases are the side effect resource. In addition, several systems have been developed to explore existing DDIs swiftly from published results [15].…”