Results 41 to 50 of about 7,761,818 (273)

Multimorbidity, polypharmacy, and drug-drug-gene interactions following a non-ST elevation acute coronary syndrome: analysis of a multicentre observational study. [PDF]

BMC Med, 2020
Background: The number of patients living with co-existing diseases is growing. This study aimed to assess the extent of multimorbidity, medication use, and drug- and gene-based interactions in patients following a non-ST elevation acute coronary ...
Turner RM, de Koning EM, Fontana V, Thompson A, Pirmohamed M.   +4 more
europepmc   +2 more sources

Gene based message passing for drug repurposing [PDF]

, 2023
Summary: The medicinal effect of a drug acts through a series of genes, and the pathological mechanism of a disease is also related to genes with certain biological functions. However, the complex information between drug or disease and a series of genes
Zhiming Dai, Rao, J, Yuxing Wang, Wang, Y, Jiahua Rao, Li, Z, Yuedong Yang, Yang, Y, Dai, Z, Zhiyang Li   +9 more
core   +1 more source

Utilizing Pharmacogenomics Results to Determine Opioid Appropriateness and Improve Pain Management in a Patient with Osteoarthritis

Pharmacogenomics and Personalized Medicine, 2022
Katie Pizzolato,1 David Thacker,2 Nicole Marie Del Toro-Pagán,1 Nishita S Amin,1 Abeer Hanna,3 Jacques Turgeon,2,4 Veronique Michaud2,4,5 1Tabula Rasa Healthcare, Office of Translational Research and Residency Programs, Moorestown, NJ, 08057, USA ...
Pizzolato K, Thacker D, Del Toro-Pagán NM, Amin NS, Hanna A, Turgeon J, Michaud V   +6 more
doaj  

Phenotypic models of drug-drug-gene interactions mediated by cytochrome drug-metabolizing enzymes

Clinical Pharmacology & Therapeutics, 2023
Genetic polymorphisms in drug metabolizing enzymes and drug–drug interactions are major sources of inadequate drug exposure and ensuing adverse effects or insufficient responses. The current challenge in assessing drug–drug gene interactions (DDGIs) for the development of precise dose adjustment recommendation systems is to take ...
Viviani R, Berres J, Stingl JC.
europepmc   +4 more sources

Prediction of drug-drug interactions from chemogenomic and gene-gene interactions and analysis of drug-drug interactions [PDF]

, 2013
The interactions between multiple drugs administered to an organism concurrently, whether in the form of synergy or antagonism, are of clinical relevance.
Akhmetov, Azat
core   +1 more source

Learning Petri net models of non-linear gene interactions [PDF]

, 2005
Understanding how an individual's genetic make-up influences their risk of disease is a problem of paramount importance. Although machine-learning techniques are able to uncover the relationships between genotype and disease, the problem of automatically
Mayo, Michael
core   +1 more source

Most patients with disorders of gut-brain interaction receive pharmacotherapy with major or moderate drug-gene interactions. [PDF]

Neurogastroenterol Motil, 2023
AbstractBackgroundHow variations predicted by pharmacogenomic testing to alter drug metabolism and therapeutic response affect outcomes for patients with disorders of gut‐ brain interaction is unclear.AimsTo assess the prevalence of pharmacogenomics‐predicted drug‐gene interactions and symptom outcomes for patients with disorders of gut‐brain ...
Varma R, Staab JP, Matey ET, Wright JA, Deb B, Lazaridis KN, Szarka LA, Bailey KR, Bharucha AE.   +8 more
europepmc   +3 more sources

Expression of drug transporters in intestine and blood [PDF]

, 2005
Proteins that are capable to transport molecules across membranes are fundamental for the accurate functioning of the body. Many diseases have their cause in a dysfunction of a particular transport protein.
Zimmermann, Christian
core   +1 more source

Validation of Pharmacogenomic Interaction Probability (PIP) Scores in Predicting Drug–Gene, Drug–Drug–Gene, and Drug–Gene–Gene Interaction Risks in a Large Patient Population

Journal of Personalized Medicine, 2022
Utilizing pharmacogenomic (PGx) testing and integrating evidence-based guidance in drug therapy enables an improved treatment response and decreases the occurrence of adverse drug events. We conducted a retrospective analysis to validate the YouScript® PGx interaction probability (PIP) algorithm, which predicts patients for whom PGx testing would ...
Kristine Ashcraft, Kendra Grande, Sara L. Bristow, Nicolas Moyer, Tara Schmidlen, Chad Moretz, Jennifer A. Wick, Burns C. Blaxall   +7 more
openaire   +2 more sources

Integration of the Drug–Gene Interaction Database (DGIdb 4.0) with open crowdsource efforts [PDF]

Nucleic Acids Research, 2020
Abstract The Drug-Gene Interaction Database (DGIdb, www.dgidb.org) is a web resource that provides information on drug-gene interactions and druggable genes from publications, databases, and other web-based sources. Drug, gene, and interaction data are normalized and merged into conceptual groups.
Sharon L. Freshour, Susanna Kiwala, Kelsy C. Cotto, Adam C. Coffman, Joshua F. McMichael, Jonathan J. Song, Malachi Griffith, Obi L. Griffith, Alex H. Wagner   +8 more
openaire   +4 more sources