Results 341 to 350 of about 6,006,054 (377)

Avoiding Drug-Drug Interactions

Chemotherapy, 2009
<i>Background:</i> Drugs may be prescribed in combinations causing drug-drug interactions (DDI) and adverse drug reactions (ADR), resulting in hospital care. <i>Methods:</i> To provide prescribers of drug therapy with a better knowledge of individuals’ current drug therapy, governments have started to collect prescribing data ...
openaire   +2 more sources

DSN-DDI: an accurate and generalized framework for drug-drug interaction prediction by dual-view representation learning

Briefings Bioinform., 2023
Zimeng Li, Shi-jing Zhu, Bin Shao, Xiangxiang Zeng, Tong Wang, Tie-Yan Liu   +5 more
semanticscholar   +1 more source

Transporter-Mediated Drug–Drug Interactions

Clinical Pharmacology & Therapeutics, 2011
Transporters are membrane-bound proteins that control the access of endogenous and xenobiotics (drugs) to various sites in the human body. They influence drug pharmacokinetics and pharmacodynamics (both benefit and risk) by affecting a drug's absorption, distribution, metabolism (via control of access to metabolizing enzymes), and excretion (ADME) and ...
L, Zhang, S-M, Huang, L J, Lesko
openaire   +4 more sources

MDF-SA-DDI: predicting drug-drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism

Briefings Bioinform., 2021
Shenggeng Lin, Yanjing Wang, Lingfeng Zhang, Yanyi Chu, Yatong Liu, Yitian Fang, Mingming Jiang, Qiankun Wang, Bowen Zhao, Y. Xiong, Dongqing Wei   +10 more
semanticscholar   +1 more source

Drug–Drug Interaction Prediction Assessment

Journal of Biopharmaceutical Statistics, 2009
Model-based drug-drug interaction (DDI) is an important in-silico tool to assess the in vivo consequences of in vitro DDI. Before its general application to new drug compounds, the DDI model is always established from known interaction data. For the first time, tests for difference and equivalent tests are implemented to compare reported and model-base
Jihao, Zhou, Zhaohui, Qin, Quinney K, Sara, Seongho, Kim, Zhiping, Wang, Stephen D, Hall, Lang, Li   +6 more
openaire   +2 more sources

Drug-drug interaction prediction with learnable size-adaptive molecular substructures

Briefings Bioinform., 2021
Arnold K. Nyamabo, Hui Yu, Zun Liu, Jian-Yu Shi   +3 more
semanticscholar   +1 more source

Drug-Drug Interaction

JAMA: The Journal of the American Medical Association, 1969
Interference With the Delivery of Drugs to Their Sites of Action An increasing number of mechanisms have been described whereby one drug can modify profoundly the action of another. In some of these interactions, the therapeutic effect of a drug may be blocked when another agent prevents it from reaching the site of its pharmacologic action ...
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Predicting inductive drug–drug interactions

Pharmacogenomics, 2003
Until recently, inductive drug-drug interactions have proved difficult to predict prior to formal pharmacokinetic studies in man. Even then, important interactions have often gone unrecognized until clinical sequelae have occurred in the postmarketing phase.
Christopher, Liddle, Graham R, Robertson
openaire   +2 more sources

Drug-Drug Interactions with Antipsychotics

CNS Spectrums, 2007
Recognizing drug-drug interactions (DDIs) has become increasingly important as the country's demographics have aged, resulting in more complex medication regimens. Budnitz and colleagues highlighted the frequency of adverse drug reactions (ADRs) and the substantial morbidity that results.
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Overview: Pharmacokinetic Drug-Drug Interactions

1997
Publisher Summary With the increasing median age of the population, and the now known effectiveness of multiple-therapy regimens for viral diseases, for example, HIV, cancer, cardiovascular diseases, and infectious diseases, exposure of a patient to multiple drugs is a common rather than rare occurrence.
A P, Li, M, Jurima-Romet
openaire   +2 more sources