Results 21 to 30 of about 6,006,054 (377)
KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction
International Joint Conference on Artificial Intelligence, 2020 Drug-drug interaction (DDI) prediction is a challenging problem in pharmacology and clinical application, and effectively identifying potential DDIs during clinical trials is critical for patients and society.
Xuan Lin +4 more
semanticscholar +1 more source
Journal of Advanced Pharmaceutical Technology & Research, 2021 The majority of the antipsychotic drugs are also known to interact with other co-administered drugs. Drug–drug interaction (DDI) reports among patients receiving antipsychotic medications are common.
Haneen A. R. Aburamadan +2 more
doaj +1 more source
Clinical Pharmacokinetics, 2020 Understanding transporter-mediated drug–drug interactions (DDIs) for investigational agents is important during drug development to assess DDI liability, its clinical relevance, and to determine appropriate DDI management strategies. P-glycoprotein (P-gp)
M. Elmeliegy +3 more
semanticscholar +1 more source
EPRA International Journal of Research & Development (IJRD), 2023 Drug-drug interactions, dietary interactions, and other factors may cause a drug’s effect on a person to differ from what is anticipated. Beverages and dietary supplements that person consumes (drug-nutrient/food Interaction) or a different illness the person is suffering from (drug-disease interaction). A when a substance impacts a drug’s activity, it
null S.K.Bais, null S.D.Mali
openaire +1 more source
Current Concepts on Drug Abuse and Dependence [PDF]
, 2015 Drug addiction is a complex disease characterized by compulsive and uncontrollable desire to seek and consume the drug. In time, drug-related terminology has undergone many changes, arising from the deepening of the mechanisms of action, but also about ...
Baconi, Daniela Luiza +5 more
core +3 more sources
Pharmaceutics, 2022 Ursodeoxycholate (UDCA) has low oral bioavailability and pH-dependent solubility and permeability. Thus, we developed a pH-modified extended-release formulation of UDCA using Na2CO3 as the alkalizing agent and hydroxypropyl methylcellulose (HPMC) as the ...
Jaehyeok Lee +5 more
doaj +1 more source
Recent Advances in Doxorubicin Formulation to Enhance Pharmacokinetics and Tumor Targeting
Pharmaceuticals, 2023 Doxorubicin (DOX), a widely used drug in cancer chemotherapy, induces cell death via multiple intracellular interactions, generating reactive oxygen species and DNA-adducted configurations that induce apoptosis, topoisomerase II inhibition, and histone ...
Jihoon Lee, Min-Koo Choi, Im-Sook Song
doaj +1 more source
Identification of Potential Drug Interaction with Complementary and Alternative Medicines Among Chronic Disease Outpatients [PDF]
, 2018 Chronic diseases such as congestive heart failure (CHF) and chronic kidney disease (CKD) are related with multiple drug prescription which can lead to drug interaction.
Fajria, A. K. (Arsitania) +2 more
core +2 more sources
A network inference method for large-scale unsupervised identification of novel drug-drug interactions [PDF]
, 2013 Characterizing interactions between drugs is important to avoid potentially harmful combinations, to reduce off-target effects of treatments and to fight antibiotic resistant pathogens, among others.
Guimera, Roger, Sales-Pardo, Marta
core +4 more sources
Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network [PDF]
ACM International Conference on Bioinformatics, Computational Biology and Biomedicine, 2019 Interference between pharmacological substances can cause serious medical injuries. Correctly predicting so-called drug-drug interactions (DDI) does not only reduce these cases but can also result in a reduction of drug development cost.
Md. Rezaul Karim +5 more
semanticscholar +1 more source