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 …

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 …

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 …

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) defines a situation in which one drug affects the activity of
another when both are administered together. DDI is a common cause of adverse drug …

Abstract Background Drug-drug interactions (DDIs) are one of the major concerns in drug
discovery. Accurate prediction of potential DDIs can help to reduce unexpected interactions …

What is known and objective Drug‐drug interactions (DDI) are frequent causes of adverse
clinical drug reactions. Efforts have been directed at the early stage to achieve accurate …

Drug–drug interactions (DDIs) may lead to adverse effects and potentially result in drug
withdrawal from the market. Predicting DDIs during drug development would help reduce …

Background: One drug can affect the activity of another when they are administered
together, which can cause adverse drug reactions or sometimes improve therapeutic effects …

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