Detecting Post-Translational Modifications in Peptide Mass Spectra
Author Information
Author(s): Fu Yan, Jia Wei, Lu Zhuang, Wang Haipeng, Yuan Zuofei, Chi Hao, Li You, Xiu Liyun, Wang Wenping, Liu Chao, Wang Leheng, Sun Ruixiang, Gao Wen, Qian Xiaohong, He Si-Min
Primary Institution: Institute of Computing Technology, Chinese Academy of Sciences
Hypothesis
Can an efficient method be developed to detect abundant post-translational modifications in peptide mass spectra using peptide mass and retention time differences?
Conclusion
The proposed method effectively detects abundant modifications and spectral pairs, increasing the interpretation rate of mass spectra by an average of 10%.
Supporting Evidence
- The method uses both peptide mass and retention time information for accurate detection.
- Experiments showed an average increase of 10% in the number of interpreted spectra.
- The approach is independent of peptide fragmentation data, making it robust.
Takeaway
This study found a way to identify changes in proteins that happen after they are made, helping scientists understand them better.
Methodology
The study used a bivariate Gaussian mixture model to analyze peptide mass and retention time differences to identify modification-related spectral pairs.
Limitations
The method is not designed to detect low-concentration modifications.
Statistical Information
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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