Results 71 to 80 of about 210,019 (338)

Towards Decoding Hepatotoxicity of Approved Drugs through Navigation of Multiverse and Consensus Chemical Spaces

open access: yesBiomolecules, 2023
Drug-induced liver injury (DILI) is the principal reason for failure in developing drug candidates. It is the most common reason to withdraw from the market after a drug has been approved for clinical use.
Edgar López-López   +1 more
doaj   +1 more source

Additional file 7 of Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure

open access: yes, 2021
Additional file 7: TableS2. Proteins with high feature importance in RF and SVM, and links to DILI. The 19 proteins with the highest feature importance in RF or SVM models are shown. The feature importance is shown in bold if the protein ranked among the top 19 in the respective model.
Liu, Anika   +7 more
openaire   +2 more sources

Effect of cyclosporine on hepatic energy status and on fructose metabolism after portacaval shunt in dog as monitored by phosphorus‐31 nuclear magnetic resonance spectroscopy in vivo [PDF]

open access: yes, 1991
The effect of cyclosporin A on the hepatic energy status and intracellular pH of the liver and its response to a fructose challenge has been investigated using in vivo phosphorus‐31 nuclear magnetic resonance spectroscopy in dogs.
Atkinson   +37 more
core   +1 more source

Drug and herb-induced liver injury: A critical review of Brazilian cases with proposals for the improvement of causality assessment using RUCAM

open access: yesAnnals of Hepatology, 2019
Introduction and Objectives: Although hepatotoxicity accounts for 10% of adverse drug reactions, it remains poorly understood and underreported. This study aimed to summarize case reports of herb- and drug-induced liver injury in Brazil.
Matheus William Becker   +3 more
doaj   +1 more source

Additional file 2 of Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure

open access: yes, 2021
Additional file 2: Figure S1. DILI label prediction performance (balanced accuracy) of RF and SVM models trained using the DILIrank (−vLessConcern) dataset and Mordred molecular descriptors for 5-fold LOCO-CV, external test set, and FDA validation set (Methods).
Liu, Anika   +7 more
openaire   +2 more sources

Fluorescent probe for the imaging of superoxide and peroxynitrite during drug-induced liver injury†

open access: yesChemical Science, 2021
Drug-induced liver injury (DILI) is an important cause of potentially fatal liver disease. Herein, we report the development of a molecular probe (LW-OTf) for the detection and imaging of two biomarkers involved in DILI.
Luling Wu   +7 more
semanticscholar   +1 more source

Enhanced cancer therapy with cold-controlled drug release and photothermal warming enabled by one nanoplatform [PDF]

open access: yes, 2018
Stimuli-responsive nanoparticles hold great promise for drug delivery to improve the safety and efficacy of cancer therapy. One of the most investigated stimuli-responsive strategies is to induce drug release by heating with laser, ultrasound, or ...
Agarwal, Pranay   +7 more
core   +1 more source

Pantoprazole-Induced Liver Injury in the Setting of Diabetic Ketoacidosis

open access: yesActa Médica Portuguesa
N/a.
Raquel Oliveira   +3 more
doaj   +1 more source

Comprehensive characterization of natural products of Polygonum multiflorum by cheminformatics analysis

open access: yesPharmacological Research - Modern Chinese Medicine, 2023
Introduction: A growing body of evidence has suggested that Polygonum multiflorum Thunb. (PM) may cause PM-herb-induced liver injury (PM-HILI). However, the compounds triggering PM-HILI remain controversial.
Xiaowen Hu   +5 more
doaj   +1 more source

Additional file 6 of Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure

open access: yes, 2021
Additional file 6: Table S1. Performance of models trained using the DILIrank (−vLessConcern) dataset. Shown is mean ± standard deviation for 7 metrics (MCC - Matthew’s Correlation Coefficient, PRAUC - Precision-Recall Area Under Curve, ROCAUC - Receiver-Operator-Characteristic Area Under Curve) for models trained using ECFP4, Mordred molecular ...
Liu, Anika   +7 more
openaire   +2 more sources

Home - About - Disclaimer - Privacy