Results 21 to 30 of about 5,634,975 (396)
Editorial: Drug-drug interactions in pharmacology
Frontiers in Pharmacology, 2023 Simona Pichini +3 more
doaj +3 more sources
Pharmacokinetic Drug–Drug Interactions and Herb–Drug Interactions
Pharmaceutics, 2021 Due to the growing use of herbal supplementation—ease of taking herbal supplements with therapeutics drugs (i [...]
Min-Koo Choi, Im-Sook Song
doaj +1 more source
Clinical pharmacology and therapy, 2022 The coronavirus disease 2019 (COVID‐19) antiviral nirmatrelvir/ritonavir (Paxlovid) has been granted authorization or approval in several countries for the treatment of patients with mild to moderate COVID‐19 at high risk of progression to severe disease
C. Marzolini +11 more
semanticscholar +1 more source
A Review of Approaches for Predicting Drug–Drug Interactions Based on Machine Learning
Frontiers in Pharmacology, 2022 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 interactions is time-consuming and expensive, so it is urgent to use computer ...
Ke Han +9 more
semanticscholar +1 more source
Predicting drug-target interactions using drug-drug interactions. [PDF]
PLoS ONE, 2013 Computational methods for predicting drug-target interactions have become important in drug research because they can help to reduce the time, cost, and failure rates for developing new drugs.
Shinhyuk Kim, Daeyong Jin, Hyunju Lee
doaj +1 more source
Drug–drug interactions with warfarin: A systematic review and meta‐analysis
British Journal of Clinical Pharmacology, 2021 The objective of this paper is to systematically review the literature on drug–drug interactions with warfarin, with a focus on patient‐important clinical outcomes.
Mei Wang +12 more
semanticscholar +1 more source
Crystal structure correlations with the intrinsic thermodynamics of human carbonic anhydrase inhibitor binding [PDF]
PeerJ, 2018 The structure-thermodynamics correlation analysis was performed for a series of fluorine- and chlorine-substituted benzenesulfonamide inhibitors binding to several human carbonic anhydrase (CA) isoforms.
Alexey Smirnov +4 more
doaj +2 more sources
A machine learning framework for predicting drug–drug interactions
Scientific Reports, 2021 Understanding drug–drug interactions is an essential step to reduce the risk of adverse drug events before clinical drug co-prescription. Existing methods, commonly integrating heterogeneous data to increase model performance, often suffer from a high ...
Suyu Mei, Kun Zhang
semanticscholar +1 more source
Pharmacoepidemiology and Drug Safety, 2021 The aim of this study was to analyze the epidemiology of polypharmacy in hospital psychiatry. Another aim was to investigate predictors of the number of drugs taken and the associated risks of drug–drug interactions and potentially inappropriate ...
J. Wolff +9 more
semanticscholar +1 more source
Pharmaceutics, 2020 In an ageing society, polypharmacy has become a major public health and economic issue. Overuse of medications, especially in patients with chronic diseases, carries major health risks. One common consequence of polypharmacy is the increased emergence of
M. Deodhar +6 more
semanticscholar +1 more source