Results 11 to 20 of about 5,892,906 (287)

Text Mining for Drug–Drug Interaction [PDF]

Methods in molecular biology, 2014
In order to understand the mechanisms of drug-drug interaction (DDI), the study of pharmacokinetics (PK), pharmacodynamics (PD), and pharmacogenetics (PG) data are significant. In recent years, drug PK parameters, drug interaction parameters, and PG data have been unevenly collected in different databases and published extensively in literature.
Wu, Heng-Yi, Chiang, Chien-Wei, Li, Lang
openaire   +4 more sources

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, Yaosen Min, Xin Chen, Ji Wu   +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, Ruixia Xie, Xutao Li, Junyi Li   +3 more
semanticscholar   +1 more source

DDInter: an online drug–drug interaction database towards improving clinical decision-making and patient safety

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, Zhi-Jiang Yang, Jiacai Yi, Ningning Wang, Lei Wang, Huimin Zhu, Chengkun Wu, Aiping Lu, Xiang Chen, Shao Liu, Tingjun Hou, Dongsheng Cao   +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, Yang Zhang, Yuxin Cui, Yang Qiu, Yifan Deng, Wen Zhang, Zhongfei Zhang   +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, Jianliang Gao, Ling Tian, Zhao Li, Peng Zhang, Ji Zhang   +5 more
semanticscholar   +1 more source

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, Zhe Quan, Zhi-Jie Wang, Tengfei Ma, Xiangxiang Zeng   +4 more
semanticscholar   +1 more source

Variability in In Vitro OATP1B1/1B3 Inhibition Data: Impact of Incubation Conditions on Variability and Subsequent Drug Interaction Predictions

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, Tasha K. Ritchie, Isabelle Ragueneau‐Majlessi   +2 more
doaj   +1 more source

Alternative Methotrexate Oral Formulation: Enhanced Aqueous Solubility, Bioavailability, Photostability, and Permeability

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, Hyun Seok Yang, Im-Sook Song, Han-Gon Choi, Jung Hyun Cho, Dong Wuk Kim   +5 more
doaj   +1 more source

Assessment of potential drug interactions among psychiatric inpatients receiving antipsychotic therapy of a secondary care hospital, United Arab Emirates

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, Sathvik Belagodu Sridhar, Talaat Matar Tadross   +2 more
doaj   +1 more source