AIMC Topic: Hepatobiliary Elimination

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Data Curation can Improve the Prediction Accuracy of Metabolic Intrinsic Clearance.

Molecular informatics Sep 24, 2018
A key consideration at the screening stages of drug discovery is in vitro metabolic stability, often measured in human liver microsomes. Computational prediction models can be built using a large quantity of experimental data available from public da...
Humans Machine Learning Drug Discovery Microsomes, Liver Databases, Chemical Metabolic Clearance Rate Hepatobiliary Elimination
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Evidence-based selection of training compounds for use in the mechanism-based integrated prediction of drug-induced liver injury in man.

Archives of toxicology Sep 22, 2016
The current test systems employed by pharmaceutical industry are poorly predictive for drug-induced liver injury (DILI). The 'MIP-DILI' project addresses this situation by the development of innovative preclinical test systems which are both mechanis...
Humans Artificial Intelligence Animals Severity of Illness Index Oxidative Stress Computational Biology Liver Molecular Structure Lysosomes Models, Biological Expert Systems Evidence-Based Medicine Adaptive Immunity Chemical and Drug Induced Liver Injury Hepatobiliary Elimination Drugs, Investigational Mitochondria, Liver
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Absolute oral bioavailability and pharmacokinetics of canagliflozin: A microdose study in healthy participants.

Clinical pharmacology in drug development Dec 11, 2014
Absolute oral bioavailability of canagliflozin was assessed by simultaneous oral administration with intravenous [(14) C]-canagliflozin microdose infusion in nine healthy men. Pharmacokinetics of canagliflozin, [(14) C]-canagliflozin, and total radio...
Humans Young Adult Adult Male Middle Aged Adolescent Feces Hypoglycemic Agents Infusions, Intravenous Area Under Curve Models, Biological Administration, Oral Biological Availability Healthy Volunteers Canagliflozin Hepatobiliary Elimination
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