Drug–drug interactions (DDIs) are a major concern
in clinical
practice and have been recognized as one of the key threats to public
health. To address such a critical threat, many studies have been
conducted to clarify the mechanism underlying each DDI, based on which
alternative therapeutic strategies are successfully proposed. Moreover,
artificial intelligence-based models for predicting DDIs, especially
multilabel classification models, are highly dependent on a reliable
DDI data set with clear mechanistic information. These successes highlight
the imminent necessity to have a platform providing mechanistic clarifications
for a large number of existing DDIs. However, no such platform is
available yet. In this study, a platform entitled “MecDDI”
was therefore introduced to systematically clarify the mechanisms
underlying the existing DDIs. This platform is unique in (a) clarifying
the mechanisms underlying over 1,78,000 DDIs by explicit descriptions
and graphic illustrations and (b) providing a systematic classification
for all collected DDIs based on the clarified mechanisms. Due to the
long-lasting threats of DDIs to public health, MecDDI could offer
medical scientists a clear clarification of DDI mechanisms, support
healthcare professionals to identify alternative therapeutics, and
prepare data for algorithm scientists to predict new DDIs. MecDDI
is now expected as an indispensable complement to the available pharmaceutical
platforms and is freely accessible at: .