MixDB
MixDB identifies mixture tandem mass spectra originating from multiple peptides to enable accurate peptide identification in database searches of tandem mass spectrometry data, including co-eluting peptides and data-independent acquisition (DIA) datasets.
Key Features:
- Mixture Spectrum Identification: Identifies spectra containing fragment ions from two or more peptides rather than assuming a single-peptide origin.
- High Accuracy and Efficiency: Achieves up to 95% reliability while considering approximately 0.01% of all possible peptide pairs, yielding about four orders of magnitude speedup versus exhaustive searches.
- Enhanced Sensitivity and Precision: Shows comparable or better sensitivity and precision on single-peptide spectra and uniquely identifies 38% more peptides from mixture spectra with higher precision.
Scientific Applications:
- Data-independent acquisition (DIA) analysis: Enables identification of mixed spectra generated by DIA workflows.
- Complex biological samples: Supports analysis of samples with frequent co-eluting peptides.
- Post-translational modification studies: Facilitates detection of peptides with intricate post-translational modifications within mixed spectra.
- Comprehensive proteomic profiling: Improves peptide-level coverage for studies of protein interactions and modifications in complex datasets.
Methodology:
Employs a targeted computational search strategy that narrows candidate peptide pairs to a small fraction (≈0.01%) of possibilities to rapidly and precisely identify contributors to mixture tandem mass spectra.
Topics
Collections
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows
- Programming Languages:
- Java, Perl
- Added:
- 12/18/2017
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Database search
Search
Publications
Wang J, Bourne PE, Bandeira N. Peptide Identification by Database Search of Mixture Tandem Mass Spectra. Molecular & Cellular Proteomics. 2011;10(12):M111.010017. doi:10.1074/mcp.m111.010017. PMID:21862760. PMCID:PMC3237077.