Results 21 to 30 of about 8,468,904 (256)

Drug-gene interaction and druggable genes associated with each GO process in each ML cluster.

, 2023
Drug-gene interaction and druggable genes associated with each GO process in each ML cluster.
Sudhanshu Shukla (408600), S. R. M. Prasanna (13236801), Seema Khadirnaikar (9227318)   +2 more
core   +1 more source

Investigating drug–target interactions in frontotemporal dementia using a network pharmacology approach

Beni-Suef University Journal of Basic and Applied Sciences, 2021
Background Frontotemporal dementia (FTD) is the second most common type of dementia in individuals aged below 65 years with no current cure. Current treatment plan is the administration of multiple medications.
Archana Balasubramanian, Raksha Sudarshan, Jhinuk Chatterjee   +2 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

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

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

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