Results 31 to 40 of about 598,220 (234)

PXR Suppresses PPARα-Dependent HMGCS2 Gene Transcription by Inhibiting the Interaction between PPARα and PGC1α

Cells, 2021
Background: PXR is a xenobiotic-responsive nuclear receptor that controls the expression of drug-metabolizing enzymes. Drug-induced activation of PXR sometimes causes drug–drug interactions due to the induced metabolism of co-administered drugs.
Ryota Shizu, Kanako Ezaki, Takumi Sato, Ayaka Sugawara, Takuomi Hosaka, Takamitsu Sasaki, Kouichi Yoshinari   +6 more
doaj   +1 more source

Gene-Drug Interaction in Stroke

Stroke Research and Treatment, 2011
Stroke is the third cause of mortality and one of most frequent causes of long-term neurological disability, as well as a complex disease that results from the interaction of environmental and genetic factors.
Serena Amici, Maurizio Paciaroni, Giancarlo Agnelli, Valeria Caso   +3 more
doaj   +1 more source

Pre-clinical drug prioritization via prognosis-guided genetic interaction networks. [PDF]

PLoS ONE, 2010
The high rates of failure in oncology drug clinical trials highlight the problems of using pre-clinical data to predict the clinical effects of drugs. Patient population heterogeneity and unpredictable physiology complicate pre-clinical cancer modeling ...
Jianghui Xiong, Juan Liu, Simon Rayner, Ze Tian, Yinghui Li, Shanguang Chen   +5 more
doaj   +1 more source

Towards personalized management of drug interactions: from drug-drug-interaction to drug-drug-gene-interaction [PDF]

, 2020
Drug-drug interactions (DDIs) are still an important contributor to ineffective treatment or deleterious side effects. Therefore, assessing the prevalence and clinical relevance of frequently observed potential DDIs is an important step towards improving medication safety.
openaire   +2 more sources

Prediction of Drug–Gene Interaction by Using Metapath2vec

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.
Siyi Zhu, Jiaxin Bing, Xiaoping Min, Chen Lin, Xiangxiang Zeng, Xiangxiang Zeng   +5 more
doaj   +1 more source

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

BMC Medicine, 2020
Abstract 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 syndrome (NSTE-ACS). Methods
Turner, RM, de Koning, EM, Fontana, V, Thompson, A, Pirmohamed, M   +4 more
openaire   +2 more sources

Gene-network based analysis of human placental trophoblast subtypes identifies critical genes as potential targets of therapeutic drugs

Journal of Integrative Bioinformatics, 2023
During early pregnancy, extravillous trophoblasts (EVTs) play a crucial role in modifying the maternal uterine environment. Failures in EVT lineage formation and differentiation can lead to pregnancy complications such as preeclampsia, fetal growth ...
Lackner Andreas Ian, Pollheimer Jürgen, Latos Paulina, Knöfler Martin, Haider Sandra   +4 more
doaj   +1 more source

Potential Breast Anticancer Drug Targets Revealed by Differential Gene Regulatory Network Analysis and Molecular Docking: Neoadjuvant Docetaxel Drug as a Case Study

Cancer Informatics, 2018
Understanding gene-gene interaction and its causal relationship to protein-protein interaction is a viable route for understanding drug action at the genetic level, which is largely hindered by inability to robustly map gene regulatory networks. Here, we
Adel Aloraini, Karim M ElSawy
doaj   +1 more source

Xprediction: Explainable EGFR-TKIs response prediction based on drug sensitivity specific gene networks.

PLoS ONE, 2022
In recent years, drug sensitivity prediction has garnered a great deal of attention due to the growing interest in precision medicine. Several computational methods have been developed for drug sensitivity prediction and the identification of related ...
Heewon Park, Rui Yamaguchi, Seiya Imoto, Satoru Miyano   +3 more
doaj   +1 more source

Graph Convolutional Network for Drug Response Prediction Using Gene Expression Data

Mathematics, 2021
Genomic profiles of cancer patients such as gene expression have become a major source to predict responses to drugs in the era of personalized medicine.
Seonghun Kim, Seockhun Bae, Yinhua Piao, Kyuri Jo   +3 more
doaj   +1 more source