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AMASS: software for automatically validating the quality of MS/MS spectrum from SEQUEST results
1Proteomics Research Center, National Key Laboratory of Medical Molecular, Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical, Sciences, Beijing, People's Republic of China.
Molecular & Cellular Proteomics : MCP
|October 19, 2004
Summary
Manual validation of tandem mass spectra is slow. AMASS (advanced mass spectrum screener) software filters SEQUEST results, improving peptide identification accuracy and reducing manual effort.
Area of Science:
- Proteomics
- Bioinformatics
- Mass Spectrometry
Background:
- Manual validation of tandem mass spectra (MS/MS) is a bottleneck in SEQUEST analysis.
- Inefficient manual methods hinder high-throughput proteomics studies.
Purpose of the Study:
- Introduce AMASS (advanced mass spectrum screener) to automate and improve MS/MS data filtering.
- Enhance the accuracy and efficiency of peptide identification from mass spectrometry data.
Main Methods:
- AMASS filters SEQUEST results by analyzing high-abundant ion match percentages and b, y ion series continuity.
- Evaluated AMASS performance on 22 datasets from 18 known protein mixtures.
- Assessed AMASS synergy with the Rscore filter.
Main Results:
- AMASS increased true positive identifications and reduced false positives compared to Xcorr and DeltaCn.
- Effectively removed noisy spectra, false interpretations, and approximately half of poor fragmentation spectra.
- AMASS demonstrated synergistic effects when combined with the Rscore filter.
Conclusions:
- AMASS significantly improves the accuracy of peptide MS/MS spectra identification.
- AMASS and Rscore reduce the time and effort required for manual spectral validation.
- Automated filtering with AMASS addresses a key bottleneck in MS/MS data processing.