ABSTRACT
The Metabolic and Transport Drug Interaction Database (DIDB), developed by the Drug Interaction Prediction group at the University of Washington, includes of the largest set of comprehensive data pertaining to drug interaction’s drug interactions (DIs) in humans. In view of the clinical importance of the corrected Q-T interval (QTc) prolongation in drug development, the DIDB team has created a new set of data summarizing QTc effects of drugs. The DIDB search interface utilizes a list of queries. Queries are structured along intuitive themes such as drug, enzyme, therapeutic class, transporter, and thus allow the user to quickly select the appropriate queries without the need for extensive training. The query used is labeled “multiple objects” and is available under the section “Drug Queries”. Until, information on the DI profile of newly approved drugs, extracted from product labels was available as printable PDF summaries.
