META-SNP Predictions for Myelin Basic Protein Non-Synonymous SNPs

A 10.3 KB Excel file presents an integrated pathogenicity assessment for non-synonymous single nucleotide polymorphisms (nsSNPs) in the Myelin Basic Protein (MBP) gene. The dataset was authored by Arwa Ibrahim Alwabran and last updated on May 21, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Prioritizing high-risk genetic variants for experimental validation based on integrated pathogenicity scores.
• Training or benchmarking variant effect prediction models using MBP-specific data.
• Correlating predicted pathogenicity with clinical phenotypes in demyelinating diseases.

Strengths

• Dataset is small (10.3 KB), ensuring quick download and processing.
• Provides an integrated assessment, likely combining multiple prediction algorithms.
• Has a clear, permissive license (CC-BY-4.0) for reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Likely computational prediction using the META-SNP tool or similar integrated methods.

Freshness

Last updated 2026-05-21 17:28:29; freshness should be verified.