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Updated: May 17, 2025

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
Published on: February 23, 2024
DockTox: Targeting molecular initiating events in organ toxicity through molecular docking
Rita Ortega-Vallbona1, David Talavera-Cortés1, Laureano E Carpio2
1ProtoQSAR SL, Parque Tecnológico de Valencia, Paterna, Spain.
Abstract:
Adverse Outcome Pathways (AOPs) in toxicology describe the sequence of key events from chemical exposure to adverse outcomes, facilitating the development of predictive models. The EU ONTOX project uses this framework to predict liver, developmental brain, and kidney toxicity without animal testing. Focusing on Molecular Initiating Events (MIEs), more concretely on the interaction of chemicals with key proteins, we have developed an automated workflow for docking small molecules onto over 20 pre-processed protein structures, implemented in the online tool DockTox. This tool generates conformers of small molecules, performs docking on MIE-associated proteins, and provides binding energy, interacting residues, and interaction maps. Additionally, it compares the interactions to a reference list of known ligands, producing an interaction fraction as an additional similarity measure. Evaluation of the docking workflow's predictive performance on Peroxisome Proliferator-Activated Receptor α (PPARα) showed that interaction fraction values are more informative than binding energy alone for distinguishing binders from non-binders. This unique feature enhances the understanding of target protein interactions. DockTox supports the virtual screening of small molecules targeting MIE-associated proteins, offering insights into binding energies and interaction profiles. It is a valuable tool for anticipating adverse outcomes from chemical exposure in a tiered risk assessment approach.
Insights
The DockTox tool automates chemical docking to proteins, predicting toxicity without animal testing. Its interaction fraction metric enhances understanding of molecular interactions for safer chemical assessment.
Area of Science:
- Toxicology
- Computational Chemistry
- Drug Discovery
Background:
- Adverse Outcome Pathways (AOPs) provide a framework for predicting chemical toxicity.
- The EU ONTOX project aims to reduce animal testing for toxicity predictions.
- Molecular Initiating Events (MIEs) are crucial for understanding chemical interactions with proteins.
Purpose of the Study:
- To develop an automated workflow for docking small molecules to MIE-associated proteins.
- To create an online tool, DockTox, for predicting chemical toxicity.
- To evaluate the predictive performance of docking metrics.
Main Methods:
- Developed an automated docking workflow for over 20 pre-processed protein structures.
- Implemented the workflow in the online tool DockTox.
- Generated small molecule conformers, performed docking, and analyzed binding energy, residues, and interaction maps.
- Introduced an interaction fraction for comparing chemical interactions to known ligands.
Main Results:
- DockTox successfully docks small molecules to MIE-associated proteins.
- Interaction fraction proved more informative than binding energy for distinguishing binders from non-binders, using PPARα as a model.
- The tool provides insights into binding energies and interaction profiles.
Conclusions:
- DockTox enhances the understanding of target protein interactions in toxicology.
- The tool supports virtual screening for anticipating adverse outcomes from chemical exposure.
- DockTox is a valuable asset for tiered risk assessment strategies, reducing reliance on animal testing.
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