Neurotoxicity Mechanisms of Dioctyl Terephthalate via Network Toxicology

A computational and experimental dataset investigating the neurotoxicity of the plasticizer DOTP. It includes results from network toxicology analysis identifying 90 potential protein targets, molecular docking simulations, and in vivo validation in mice. The dataset was created by Hao Tang and last updated on 2026-04-10.

Use Cases

• Validate network toxicology predictions based on identified protein-protein interaction networks.
• Analyze chemical-protein binding affinities based on molecular docking results.
• Correlate computational pathway enrichment (GO/KEGG) with in vivo phenotypic outcomes.
• Study the role of core targets like EGFR and BCL2 in neurotoxicity based on the PPI network analysis.

Strengths

• Integrates multiple methodologies: network toxicology, molecular dynamics, and in vivo experiments.
• Identifies 90 specific neurotoxicity-related protein targets.
• License is CC-BY-4.0, permitting open sharing and adaptation.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (522.0 B), indicating limited scope or summary-level data.

Provenance

Source

figshare, author Hao Tang.

Collection Method

Data generated from an integrated study using SEA, SwissTargetPrediction, SuperPred, STRING, Cytoscape, AutoDock, GROMACS, and in vivo mouse experiments.

Time Range

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Freshness

Last updated 2026-04-10 05:58:44; freshness should be verified.

Geography

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