Dioctyl Terephthalate Neurotoxicity Analysis with 90 Protein Targets

90 neurotoxicity-related protein targets were identified for the plasticizer DOTP using network toxicology and molecular docking. The dataset contains results from computational modeling and in vivo experiments on mice, including behavioral and molecular assays. Author Hao Tang published the data under a CC-BY-4.0 license on figshare in April 2026.

Use Cases

• Validate predicted protein targets for DOTP based on the 90 identified neurotoxicity-related targets.
• Analyze protein-protein interaction networks for neurotoxicity using the core nodes (EGFR, BCL2, CASP3, etc.) identified.
• Study the binding affinity and stability of DOTP-protein complexes using the provided molecular docking and dynamics simulation results.
• Correlate computational predictions with in vivo phenotypic outcomes like neurofunctional deficits and neuronal loss.

Strengths

• Dataset is based on an integrated methodology combining network toxicology, molecular dynamics simulations, and in vivo validation.
• Results include a specific set of 90 intersecting neurotoxicity-related targets and 7 identified core nodes.
• Data is openly shared under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (298.0 KB), indicating limited scope, likely containing summary results rather than raw experimental data.

Provenance

Source

Hao Tang via figshare.

Collection Method

Generated through computational modeling (Similarity Ensemble Approach, SwissTargetPrediction, SuperPred, STRING, Cytoscape, AutoDock, GROMACS) and in vivo experiments on mice.

Time Range

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Freshness

Last updated 2026-04-10 05:58:54; freshness should be verified.

Geography

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