Results 11 to 20 of about 6,006,054 (377)
Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction [PDF]
The Web Conference, 2020 Potential Drug-Drug Interactions (DDI) occur while treating complex or co-existing diseases with drug combinations, which may cause changes in drugs’ pharmacological activity.
Yingheng Wang +3 more
semanticscholar +1 more source
SmileGNN: Drug–Drug Interaction Prediction Based on the SMILES and Graph Neural Network
Life, 2022 Concurrent use of multiple drugs can lead to unexpected adverse drug reactions. The interaction between drugs can be confirmed by routine in vitro and clinical trials.
Xueting Han +3 more
semanticscholar +1 more source
Pharmaceutics, 2021 We evaluated the bioavailability, liver distribution, and efficacy of silymarin-D-α-tocopherol polyethylene glycol 1000 succinate (TPGS) solid dispersion (silymarin-SD) in rats with acetaminophen-induced hepatotoxicity (APAP) compared with silymarin ...
Im-Sook Song +4 more
doaj +1 more source
Pharmacodynamic Drug–Drug Interactions [PDF]
Clinical Pharmacology & Therapeutics, 2019 Pharmacodynamic drug–drug interactions (DDIs) occur when the pharmacological effect of one drug is altered by that of another drug in a combination regimen. DDIs often are classified as synergistic, additive, or antagonistic in nature, albeit these terms are frequently misused.
Jin, Niu +2 more
openaire +2 more sources
Pharmaceutics, 2023 Semisolid extrusion (SSE) three-dimensional (3D) printing uses drug-loaded paste for the printing process, which is capable of constructing intricate 3D structures.
Hyun Seok Yang, Dong Wuk Kim
doaj +1 more source
Nucleic Acids Res., 2021 Drug-drug interaction (DDI) can trigger many adverse effects in patients and has emerged as a threat to medicine and public health. Despite the continuous information accumulation of clinically significant DDIs, there are few open-access knowledge ...
Guoli Xiong +11 more
semanticscholar +1 more source
Enhancing Drug-Drug Interaction Prediction Using Deep Attention Neural Networks
bioRxiv, 2021 Drug-drug interactions are one of the main concerns in drug discovery. Accurate prediction of drug-drug interactions plays a key role in increasing the efficiency of drug research and safety when multiple drugs are c o-prescribed.
Shichao Liu +6 more
semanticscholar +1 more source
MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events
International Joint Conference on Artificial Intelligence, 2021 The interaction of multiple drugs could lead to serious events, which causes injuries and huge medical costs. Accurate prediction of drug-drug interaction (DDI) events can help clinicians make effective decisions and establish appropriate therapy ...
Tengfei Lyu +5 more
semanticscholar +1 more source
Clinical and Translational Science, 2020 As the research into the organic anion transporting polypeptides (OATPs) continues to grow, it is important to ensure that the data generated are accurate and reproducible.
Savannah J. McFeely +2 more
doaj +1 more source
Pharmaceutics, 2022 The poor aqueous solubility and/or permeability and thereby limited bioavailability largely restricts the pharmaco-therapeutic implications of potent anticancer drugs such as methotrexate (MTX).
Bhupendra Raj Giri +5 more
doaj +1 more source