EIP103 Peptide Degrader: Molecular Dynamics Simulation of EZH2 Binding

Minxian Li published a 1.3 MB dataset on figshare in March 2026. The data likely contains molecular dynamics simulation results, specifically PDB files, from a study on the EIP103 peptide degrader targeting the EZH2 protein in triple-negative breast cancer. The research demonstrated EIP103's mechanism of binding the SET domain and inducing proteasomal degradation.

Use Cases

• Analyze protein-peptide binding interactions based on the described molecular dynamics simulations of EIP103 and EZH2.
• Study conformational destabilization mechanisms based on the described structural alterations of the EZH2 SET domain.
• Investigate immunogenic cell death pathways based on the described link between EIP103-induced lipid peroxidation and immune cell infiltration.

Strengths

• Data is focused on a specific, novel therapeutic mechanism (EIP103 peptide degrader) distinct from small molecule inhibitors.
• File format (PDB) is a standard for 3D structural data, facilitating analysis with common bioinformatics tools.
• Dataset is small (1.3 MB), enabling quick download and local processing.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data scope is narrow, focused on a single peptide-protein interaction, limiting broader biological context.

Provenance

Source

figshare, author Minxian Li.

Collection Method

Likely generated from molecular dynamics simulations and biochemical assays as described.

Time Range

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Freshness

Last updated 2026-03-23 06:46:57; freshness should be verified.

Geography

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