Results 61 to 70 of about 783,471 (282)

TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction and pathway deconvolution of drug combinations.

open access: yesPLoS Computational Biology, 2021
Drug combinations have demonstrated great potential in cancer treatments. They alleviate drug resistance and improve therapeutic efficacy. The fast-growing number of anti-cancer drugs has caused the experimental investigation of all drug combinations to ...
Qiao Liu, Lei Xie
doaj   +1 more source

Amiodarone - Simvastatin - contextualized potential drug-drug interaction clinical algorithm

open access: yes, 2018
An algorithm developed for research purposes that summarizes the potential drug-drug interaction between amiodarone and simvastatin. The information is not advice, and should not be treated as such.
Contributors to the A Minimum Representation of Potential Drug-Drug Interaction Knowledge and Evidence - Technical and User-centered Foundation Specification
core   +1 more source

The evolution of drug-activated nuclear receptors: one ancestral gene diverged into two xenosensor genes in mammals [PDF]

open access: yes, 2004
BACKGROUND: Drugs and other xenobiotics alter gene expression of cytochromes P450 (CYP) by activating the pregnane X receptor (PXR) and constitutive androstane receptor (CAR) in mammals.
Urs A Meyer   +26 more
core   +1 more source

Organoids in pediatric cancer research

open access: yesFEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

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

open access: yes, 2023
Drug-gene interaction and druggable genes identified using the differentially expressed (DE) genes in each ML cluster.
Sudhanshu Shukla (408600)   +2 more
core   +1 more source

Reciprocal control of viral infection and phosphoinositide dynamics

open access: yesFEBS Letters, EarlyView.
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley   +1 more source

Drug–Drug Interactions and Pharmacogenomic Evaluation in Colorectal Cancer Patients: The New Drug-PIN® System Comprehensive Approach

open access: yesPharmaceuticals, 2021
Drug–drug interactions (DDIs) can affect both treatment efficacy and toxicity. We used Drug-PIN® (Personalized Interactions Network) software in colorectal cancer (CRC) patients to evaluate drug–drug–gene interactions (DDGIs), defined as the combination ...
Michela Roberto   +8 more
doaj   +1 more source

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].

open access: yes, 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)   +5 more
core   +1 more source

Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?

open access: yesFEBS Letters, EarlyView.
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes   +3 more
wiley   +1 more source

Identification of key genes related to heart failure by analysis of expression profiles

open access: yesArchives of Medical Science, 2021
Introduction To elucidate the candidate biomarkers involved in the patho genesis process of heart failure (HF) via analysis of differentially expressed genes (DEGs) of the dataset from the Gene Expression Omnibus (GEO).
Che Wang   +7 more
doaj   +1 more source

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