DNA Polymerase η Mutations: Atomistic Simulations of Cancer-Associated Pathogenic Variants

Molecular dynamics simulation data analyzing 8 pathogenic mutations in human DNA polymerase η (Polη). The dataset was created by Alessia Visigalli and published on figshare in May 2026. It likely contains results from simulations examining how mutations perturb protein structure, DNA binding, and substrate translocation.

Use Cases

• Modeling protein-DNA interaction destabilization based on mutation effects described in the study
• Investigating the mechanistic basis for translesion synthesis impairment based on structural and clinical data
• Identifying unified frameworks for how mutations compromise enzyme function based on simulation results

Strengths

• Focuses on a specific set of 8 Polη mutations linked to a rare genetic disorder (XP-V)
• Leverages recent structural and clinical data on pathogenic variants
• Simulation data examines both pre- and post-translocation states of the enzyme

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect methodological bias inherent to molecular dynamics simulations

Provenance

Source

figshare

Collection Method

Molecular dynamics simulations performed on selected mutations

Freshness

Last updated 2026-05-21 20:04:38; freshness should be verified