Results 11 to 20 of about 5,700,021 (349)
Drug Interactions of Metformin Involving Drug Transporter Proteins [PDF]
Metformin is a most widely used medication all around the world to treat Type 2 diabetes mellitus. It is also found to be effective against various conditions including, Prediabetes, Gestational diabetes mellitus (GDM), Polycystic Ovarian Syndrome (PCOS),
Naina Mohamed Pakkir Maideen +2 more
doaj +3 more sources
DPDDI: a deep predictor for drug-drug interactions
Background The treatment of complex diseases by taking multiple drugs becomes increasingly popular. However, drug-drug interactions (DDIs) may give rise to the risk of unanticipated adverse effects and even unknown toxicity.
Yue-Hua Feng, Shao-Wu Zhang, Jian-Yu Shi
doaj +2 more sources
Insights into CYP2B6-mediated drug–drug interactions
Mounting evidence demonstrates that CYP2B6 plays a much larger role in human drug metabolism than was previously believed. The discovery of multiple important substrates of CYP2B6 as well as polymorphic differences has sparked increasing interest in the ...
William D. Hedrich +2 more
doaj +2 more sources
Renal drug transporters and their significance in drug–drug interactions
The kidney is a vital organ for the elimination of therapeutic drugs and their metabolites. Renal drug transporters, which are primarily located in the renal proximal tubules, play an important role in tubular secretion and reabsorption of drug molecules
Jia Yin, Joanne Wang
doaj +2 more sources
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
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
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 ...
S.K.Bais, S.D.Mali
semanticscholar +1 more source
Drug–drug interactions with warfarin: A systematic review and meta‐analysis
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
A machine learning framework for predicting drug–drug interactions
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
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

