In Silico Modeling of Acetaminophen Liver Injury Determinants

A 826.3 KB supplementary document details a virtual twin model of the human liver lobule used to study drug-induced liver injury. The model, authored by Debarshi Ghosh and last updated in April 2026, simulates a patient cohort to analyze how zonal metabolic variations impact acetaminophen hepatotoxicity. Results indicate overdose-dependent sensitivity for parameters like drug uptake rate and CYP450 enzymatic activity.

Use Cases

• Parameterizing virtual liver models based on described metabolic factors like drug uptake rate and glutathione quantity.
• Analyzing overdose-dependent effects on liver damage based on simulated patient cohort data.
• Investigating the role of metabolic zonation in drug toxicity as highlighted in the model's methodology.

Strengths

• Document is 826.3 KB in size, providing detailed methodological context.
• Model is based on clinical overdose data to generate a representative in silico patient cohort.
• License is CC-BY-4.0, permitting open sharing and adaptation.

Limitations

• The primary data file format is DOCX, which may require conversion for computational analysis.
• Row count and column-level documentation are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

In silico modeling of a virtual human liver lobule coupled with an acetaminophen metabolic injury model.

Freshness

Last updated 2026-04-21 05:31:05; freshness should be verified.