A drug-drug interaction (DDI) is defined as an association between two drugs where the
pharmacological effects of a drug are influenced by another drug. Positive DDIs can usually …

Drug–drug interaction (DDI) prediction prepares substantial information for drug discovery.
As the exact prediction of DDIs can reduce human health risk, the development of an …

Therapeutic activities of drugs are often influenced by co-administration of drugs that may
cause inevitable drug-drug interactions (DDIs) and inadvertent side effects. Prediction and …

A major concern with co-administration of different drugs is the high risk of interference
between their mechanisms of action, known as adverse drug–drug interactions (DDIs) …

Drug–drug interaction (DDI) prediction identifies interactions of drug combinations in which
the adverse side effects caused by the physicochemical incompatibility have attracted much …

Abstract Background Drug-drug interactions (DDIs) are a major concern in patients'
medication. It's unfeasible to identify all potential DDIs using experimental methods which …

Abstract Drug-Drug Interaction (DDI) prediction is one of the most critical issues in drug
development and health. Proposing appropriate computational methods for predicting …

Motivation: As concurrent use of multiple medications becomes ubiquitous among patients, it
is crucial to characterize both adverse and synergistic interactions between drugs. Statistical …

Drug-drug interaction (DDI) indicates the event where a particular drug's desired course of
action is modified when taken together with other drugs (s). DDIs may hamper, enhance, or …

Drug–drug interactions play a vital role in drug research. However, they may also cause
adverse reactions in patients, with serious consequences. Manual detection of drug–drug …