Results 31 to 40 of about 8,468,954 (280)

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

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

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

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

Drug-gene interaction networks.

, 2023
Type 2 diabetes (T2D) is one of the major metabolic disorders in humans caused by hyperglycemia and insulin resistance syndrome. Although significant genetic effects on T2D pathogenesis are experimentally proved, the molecular mechanism of T2D in South ...
Md. Golam Rabby (13514311), Md. Numan Islam (13514308), Md. Mahmudul Hasan (8520969), Md. Mostafa Kamal (13514317), Mrityunjoy Biswas (708113), Md. Hafizur Rahman (7440173), Mantasa Bonny (17636492)   +6 more
core   +1 more source

Drug-gene interaction and druggable genes identified using the differentially expressed (DE) genes in each ML cluster.

, 2023
Drug-gene interaction and druggable genes identified using the differentially expressed (DE) genes in each ML cluster.
Sudhanshu Shukla (408600), S. R. M. Prasanna (13236801), Seema Khadirnaikar (9227318)   +2 more
core   +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).
Turner, RM, de Koning, EM, Fontana, V, Thompson, A, Pirmohamed, M   +4 more
openaire   +2 more sources

Molecular mechanisms of drug resistance in natural Leishmania populations vary with genetic background [PDF]

, 2012
The evolution of drug-resistance in pathogens is a major global health threat. Elucidating the molecular basis of pathogen drug-resistance has been the focus of many studies but rarely is it known whether a drug-resistance mechanism identified is ...
Sylke Müller, Hideo Imamura (62469), Dujardin, J., Khanal, Basudha, Brunker, K., Brunker, Kirstyn, Kirstyn Brunker (181178), Graham H. Coombs (164011), Suman Rijal (181185), Imamura, Hideo, Jean-Claude Dujardin, M\ufcller, Sylke, Dujardin, Jean-Claude, Dujardin, J. C., Coombs, G. H., Muller, S., Jean-Claude Dujardin (56958), Decuypere, S., Coombs, G.H., Vanaerschot, M., Decuypere, Saskia, Coombs, Graham H, Rijal, S., Manu Vanaerschot, Sylke Müller (37476), Basudha Khanal, Khanal, B., Hideo Imamura, Kirstyn Brunker, Müller, Sylke, Coombs, Graham H., Vanaerschot, Manu, Imamura, H., Rijal, Suman, Saskia Decuypere, Basudha Khanal (181181), Saskia Decuypere (181176), Manu Vanaerschot (109210), Suman Rijal, Graham H Coombs, S Decuypere   +40 more
core   +4 more sources

Comparison of YouScript^® recommendation severity of drug-drug, drug-gene, and drug-drug-gene interaction between the Home Health Trial and another published study population [16].

, 2017
Comparison of YouScript® recommendation severity of drug-drug, drug-gene, and drug-drug-gene interaction between the Home Health Trial and another published study population [16].
Moni B. Neradilek (665948), Lindsay S. Elliott (3713125), John C. Henderson (3713134), Nicolas A. Moyer (3713131), Kristine C. Ashcraft (3713128), Ranjit K. Thirumaran (379268)   +5 more
core   +1 more source

Novel network pharmacology methods for drug mechanism of action identification, pre-clinical drug screening and drug repositioning [PDF]

, 2011
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. Here we present two methodology innovations on network pharmacology modeling.
Jianghui Xiong
core   +1 more source