Results 51 to 60 of about 74,439 (262)

Chemical and biochemical aspects of drug-induced liver injury [PDF]

open access: yes, 2011
Adverse drug reactions (ADRs) are a major obstacle for the development of new medicines. They are also a leading cause of patient morbidity and mortality. Although ADRs affect many different organs and bodily systems, drug induced liver injury has lead to the withdrawal of several drugs at the post licensing stage, and is a key cause of drug attrition.
openaire   +1 more source

Additional file 4 of Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure

open access: yes, 2021
Additional file 4: Figure S3. Enriched pathways across different feature importance cutoffs for RF using the DILIrank (−vLessConcern) dataset. Enriched pathways are shown across different feature importance cutoffs which are identified by the percentile of DILI-enriched protein targets covered.
Liu, Anika   +7 more
openaire   +2 more sources

Does drug-induced liver injury still occur after sevoflurane anesthesia? -A case report- [PDF]

open access: yesAnesthesia and Pain Medicine
Background Several factors contribute to post-anesthetic hepatic dysfunction, including a decrease in oxygen supply to the liver, direct physical compression of the liver, viral hepatitis, blood transfusions, preexisting hepatic dysfunction, and the use ...
Moon Ok Lee   +3 more
doaj   +1 more source

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

open access: yes, 2021
Additional file 8: TableS3. Pathways with high feature importance in RF and SVM, and links to DILI. The overrepresented gene sets for 19 proteins with the highest feature importance in RF or SVM models are shown. Many pathways identified possess known functions in liver drug metabolism and cell stress.
Liu, Anika   +7 more
openaire   +2 more sources

Inhibition of Drug‐Induced Liver Injury in Mice Using a Positively Charged Peptide That Binds DNA

open access: yesHepatology Communications, 2021
Hepatic cell death occurs in response to diverse stimuli such as chemical and physical damage. The exposure of intracellular contents such as DNA during necrosis induces a severe inflammatory response that has yet to be fully explored therapeutically ...
Pedro E. Marques   +15 more
doaj   +1 more source

Additional file 5 of Prediction and mechanistic analysis of drug-induced liver injury (DILI) based on chemical structure

open access: yes, 2021
Additional file 5: Figure S4. Enriched pathways across different feature importance cutoffs for SVM using the DILIrank (−vLessConcern) dataset. Enriched pathways are shown across different feature importance cutoffs which are identified by the percentile of DILI-enriched protein targets covered.
Liu, Anika   +7 more
openaire   +2 more sources

The protective effect and crucial biological pathways analysis of Trametes lactinea mycelium polysaccharides on acute alcoholic liver injury in mice based on transcriptomics and metabonomics

open access: yesFood Science and Human Wellness, 2021
Trametes lactinea mycelia polysaccharides (TLMPS) have a wide range of bioactivities. The potential mechanisms of action of TLMPS against acute alcohol-induced liver injury in vivo were investigated by analyzing the physical and chemical properties of ...
Jinbin Hao   +5 more
doaj  

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

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

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