TP53 H179 Zinc-Binding Variants in NSCLC: Genomic and Structural Characterization

A 2026 study by Ankur Datta analyzes TP53 gene mutations at the His179 zinc-binding site in 1,160 Non-Small Cell Lung Cancer (NSCLC) patients from The Cancer Genome Atlas (TCGA). The research, published on figshare, uses molecular dynamics simulations to characterize the structural and functional impact of five specific amino acid substitutions (Y/R/N/L/D). Findings indicate these mutations compromise protein stability and alter the energy landscape, highlighting their pathogenic potential.

Use Cases

• Benchmarking molecular dynamics simulation results based on the described conformational signatures of H179 mutants.
• Analyzing mutation-induced structural plasticity based on described perturbations in L1 and L2 loops.
• Studying zinc-binding motif integrity in tumor suppressors based on described binding affinity evaluations for mutants.
• Investigating single-nucleotide substitution patterns in cancer genomics based on the reported C > A predominance.

Strengths

• Includes mutational profiles for 1,160 individuals (616 LUAD and 544 LUSC) from TCGA.
• Analyzes five specific H179 variants (Y/R/N/L/D) with detailed structural and functional assessments.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The primary data format is a DOCX document (13.0 KB), which is not a standard structured data format for analysis.

Provenance

Source

The Cancer Genome Atlas (TCGA) mutational profiles, analyzed by author Ankur Datta.

Collection Method

Combinatorial static structural analysis and atomistic molecular dynamics simulations (MDS) applied to TCGA data.

Time Range

The study was published in 2026; specific temporal coverage of the underlying TCGA data is not stated.

Freshness

Last updated 2026-04-10 05:59:25; freshness should be verified.

Geography

Geographic coverage of the patient cohorts is not specified.