Small molecule drug and biotech drug interaction prediction based on multi-modal representation learning.

Background: Drug-drug interactions (DDIs) occur when two or more drugs are taken simultaneously or successively. Early detection of adverse drug interactions can be essential in preventing medical errors and reducing healthcare costs. Many computational methods already predict interactions between small molecule drugs (SMDs).

TP-DDI: A Two-Pathway Deep Neural Network for Drug-Drug Interaction Prediction.

Adverse drug-drug interactions (DDIs) can severely damage the body. Thus, it is essential to accurately predict DDIs. DDIs are complex processes in which many factors can cause interactions.