Results 21 to 30 of about 7,761,818 (273)

The impact of CYP2C19 genotype on phenoconversion by concomitant medication

Frontiers in Pharmacology, 2023
Introduction: Pharmacogenetics-informed drug prescribing is increasingly applied in clinical practice. Typically, drug metabolizing phenotypes are determined based on genetic test results, whereupon dosage or drugs are adjusted.
Laura M. de Jong, Soukayna Boussallami, Elena Sánchez-López, Martin Giera, Maarten E. Tushuizen, Menno Hoekstra, Lukas J. A. C. Hawinkels, Robert Rissmann, Robert Rissmann, Robert Rissmann, Jesse J. Swen, Martijn L. Manson   +11 more
doaj   +1 more source

Prediction of Drug–Drug–Gene Interaction Scenarios of (E)-Clomiphene and Its Metabolites Using Physiologically Based Pharmacokinetic Modeling

Pharmaceutics, 2022
Clomiphene, a selective estrogen receptor modulator (SERM), has been used for the treatment of anovulation for more than 50 years. However, since (E)-clomiphene ((E)-Clom) and its metabolites are eliminated primarily via Cytochrome P450 (CYP) 2D6 and ...
Christina Kovar, Lukas Kovar, Simeon Rüdesheim, Dominik Selzer, Boian Ganchev, Patrick Kröner, Svitlana Igel, Reinhold Kerb, Elke Schaeffeler, Thomas E. Mürdter, Matthias Schwab, Thorsten Lehr   +11 more
doaj   +1 more source

Prediction of Drug–Gene Interaction by Using Metapath2vec [PDF]

Frontiers in Genetics, 2018
Heterogeneous information networks (HINs) currently play an important role in daily life. HINs are applied in many fields, such as science research, e-commerce, recommendation systems, and bioinformatics. Particularly, HINs have been used in biomedical research.
Siyi Zhu, Jiaxin Bing, Xiaoping Min, Chen Lin, Xiangxiang Zeng, Xiangxiang Zeng   +5 more
openaire   +3 more sources

Comparison of Multidrug Use in the General Population and among Persons with Diabetes in Denmark for Drugs Having Pharmacogenomics (PGx) Based Dosing Guidelines

Pharmaceuticals, 2021
Background: This study measures the use of drugs within the therapeutic areas of antithrombotic agents (B01), the cardiovascular system (C), analgesics (N02), psycholeptics (N05), and psychoanaleptics (N06) among the general population (GP) in comparison
Niels Westergaard, Lise Tarnow, Charlotte Vermehren   +2 more
doaj   +1 more source

Variational Autoencoders for Generative Drug-Gene Interactions in Periodontal Bone Resorption. [PDF]

Cureus
Introduction Periodontal bone resorption is a significant dental problem causing tooth loss and impaired oral function. It is influenced by factors such as bacterial plaque, genetic predisposition, smoking, systemic diseases, medications, hormonal changes, and poor oral hygiene.
Yadalam PK, Ramadoss R, Anegundi RV.
europepmc   +5 more sources

DeSIDE-DDI: interpretable prediction of drug-drug interactions using drug-induced gene expressions

Journal of Cheminformatics, 2022
Adverse drug-drug interaction (DDI) is a major concern to polypharmacy due to its unexpected adverse side effects and must be identified at an early stage of drug discovery and development.
Eunyoung Kim, Hojung Nam
doaj   +1 more source

The Effect of Genotyping on the Number of Pharmacotherapeutic Gene–Drug Interventions in Chronic Kidney Disease Patients

Pharmacy, 2023
Patients with chronic kidney disease (CKD) stage 3–5 are polypharmacy patients. Many of these drugs are metabolized by cytochrome P450 (CYP450) and CYP450. Genetic polymorphism is well known to result in altered drug metabolism capacity.
Catharina H. M. Kerskes, Carien J. M. E. van den Eijnde, Albert-Jan L. H. J. Aarnoudse, René J. E. Grouls, Birgit A. L. M. Deiman, Maarten J. Deenen   +5 more
doaj   +1 more source

Drug screening and genome editing in human pancreatic cancer organoids identifies drug-gene interactions and candidates for off-label treatment. [PDF]

Cell Genom, 2022
Pancreatic cancer (PDAC) is a highly aggressive malignancy for which the identification of novel therapies is urgently needed. Here, we establish a human PDAC organoid biobank from 31 genetically distinct lines, covering a representative range of tumor ...
Hirt CK, Booij TH, Grob L, Simmler P, Toussaint NC, Keller D, Taube D, Ludwig V, Goryachkin A, Pauli C, Lenggenhager D, Stekhoven DJ, Stirnimann CU, Endhardt K, Ringnalda F, Villiger L, Siebenhüner A, Karkampouna S, De Menna M, Beshay J, Klett H, Kruithof-de Julio M, Schüler J, Schwank G.   +23 more
europepmc   +3 more sources

Understanding and preventing drug-drug and drug-gene interactions. [PDF]

Expert Rev Clin Pharmacol, 2014
Concomitant administration of multiple drugs can lead to unanticipated drug interactions and resultant adverse drug events with their associated costs. A more thorough understanding of the different cytochrome P450 isoenzymes and drug transporters has led to new methods to try to predict and prevent clinically relevant drug interactions.
Tannenbaum C, Sheehan NL.
europepmc   +4 more sources

Discovering Drug-Drug Interactions Using Association Rule Mining from Electronic Health Records [PDF]

, 2023
In this paper, we propose utilising Electronic Health Records (EHR) to discover previously unknown drug-drug interactions (DDI) that may result in high rates of hospital readmissions.
Chahed, S., Getting, S., Dwek, M., Chaussalet, T., Nazyrova, N.   +4 more
core   +1 more source