Method Profile

Direction-Aware Molecular Prioritization with HepG2 Injury Comparisons

Separate models predict activation/inhibition direction and affinity, followed by formulation selection and human-cell injury measurements.

LiverComputational Models
A phase-contrast microscopic field shows cultured HepG2 cells.
HepG2 cells in phase-contrast microscopy. (User:SubtleGuest, CC BY 2.5)

Research Applications

Prioritize complementary molecular interventions and examine whether a selected coformulation changes measured injury-related outcomes.

Model & Design

23,204 annotated molecule–protein direction pairs and approximately 2.18 million affinity pairs; rat liver transcriptome reanalysis defines targets and human HepG2 cells test candidate formulations.

Experimental Format

Independent classification/regression models with warm, protein-cold and scaffold-cold tenfold validation; HepG2 comparisons of single agents, free combination and coassembled formulation.

Model Components

  • Component

    Computational evidence

    Description

    Comparative Toxicogenomics Database direction labels; BindingDB/PDBbind affinity data; Open TG-GATEs rat liver profiles at 3, 6, 9 and 24 hours with time-matched controls.

  • Component

    Human-cell model

    Description

    HepG2 cells exposed to 5 mM acetaminophen (APAP) for two hours, then treated for 24 hours with an equivalent hesperidin concentration of 42.4 μg/mL.

  • Component

    Candidate forms

    Description

    Free hesperidin, free ursodeoxycholic acid, their physical mixture and coassembled HES–UDCA nanomedicine.

Measurements & Endpoints

  • Activation/inhibition classification
  • Affinity regression under distinct splits
  • HepG2 viability and GPX activity
  • Cellular uptake and ROS

Analysis

Keep the direction and affinity datasets/models separate. Compare generalization splits before interpreting the screen and preserve the distinction between human-cell, mouse macrophage and mouse whole-animal evidence.

Published Evidence

  • Study Design

    Compare model generalization and test whether coassembly changes measured cellular protection relative to a free combination.

    Study Sample

    23,204 direction pairs; approximately 2.18 million affinity pairs; separate HepG2 cell-line experiments.

    Comparison

    Pair-random warm start, unseen protein and unseen scaffold splits; free molecules/physical mixture versus HUNMs in HepG2 injury assays.

    Finding

    Prediction performance fell in protein/scaffold cold-start tests. HUNMs increased uptake and improved viability/GPX responses relative to free combination in the APAP injury assay.

    Interpretation & Limits
    • Disease target directions derive from rat transcriptomics, not human patient liver.
    • The cellular testing uses a tumor-derived human line; primary human liver validation was not reported.
    • Formulation differences may reflect delivery as well as pharmacology; direct binding and mediation of all predicted targets were not shown.

Sources

  1. Smart Molecules. AI-enabled engineering of hesperidin/ursodeoxycholic acid nanomedicine for synergistic treatment of drug-induced liver injury. 2026-09-03. doi:10.1002/smo2.70101. ↗