A collection of non-synonymous single nucleotide polymorphisms (nsSNPs) predicted to significantly impair the stability of the Myelin Basic Protein (MBP). The dataset was generated by computational analyses using I-MUTANT 2.0, MUpro, and DDMut tools. It was authored by Arwa Ibrahim Alwaran and last updated on May 21, 2026.
Use Cases
- Validate computational protein stability prediction tools based on the consensus of three methods.
- Prioritize deleterious mutations for experimental study in Myelin Basic Protein.
- Correlate predicted stability changes with known disease phenotypes associated with MBP mutations.
- Benchmark new stability prediction algorithms against established methods like I-MUTANT 2.0, MUpro, and DDMut.
Strengths
- Results are based on a consensus from three established computational prediction tools: I-MUTANT 2.0, MUpro, and DDMut.
- The dataset is openly available under a CC-BY-4.0 license.
- File size is 5.5 KB, indicating a focused and manageable dataset.
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 computationally predicted; experimental validation of the predictions is not included.
Provenance
- Source
- figshare
- Collection Method
- Computational prediction using I-MUTANT 2.0, MUpro, and DDMut tools.
- Freshness
- Last updated 2026-05-21 17:28:56; freshness should be verified.