| Issue |
BIO Web Conf.
Volume 55, 2022
5th International Conference on Frontiers of Biological Sciences and Engineering (FBSE 2022)
|
|
|---|---|---|
| Article Number | 01003 | |
| Number of page(s) | 7 | |
| DOI | https://doi.org/10.1051/bioconf/20225501003 | |
| Published online | 21 November 2022 | |
MSPoisDM: A Novel Peptide Identification Algorithm Optimized for Tandem Mass Spectra
China Fire and Rescue Institute, Beijing 102202, China
Tandem mass spectrometry (MS/MS) plays an extremely important role in proteomics research. Thousands of spectra can be generated in modern experiments, how to interpret the LC-MS/MS is a challenging problem in tandem mass spectra analysis. Our peptide identification algorithm, MSPoisDM, is integrated the intensity information which produced by target-decoy statistics, although intensity information often undervalued. Furthermore, in order to combine the intensity information for better, we propose a novel concept scoring model which based on Poisson distribution. Compared with commonly used commercial software Mascot and Sequest at 1% FDR, the results show MSPoisDM is robust and versatile for various datasets which obtained from different instruments. We expect our algorithm MSPoisDM will be broadly applied in the proteomics studies.
Key words: Index-Terms Tandem Mass Spectrum / Protein Identification Algorithms / Weight of Pair Amino Acid Fracture
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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