Database search has become one of the most important method to interpret LC-MS/MS data in proteomics, Many algorithms to identify peptides in MS/MS data have been proposed, Including Mascot, Sequest, X!Tandem, ProVerB and SQID. However, many of them mainly based on peak matches or peak intensity, not on peak intensity identifiability. On the basis of this matter, this article provides a new perspective and characteristics reference information, scilicet PROPIN, which is a novel peptide identification algorithm based on peak intensity identifiability. Compared with Mascot, Sequest, PROPIN identified significantly more peptides from LC-MS/MS data sets at 1% False Discovery Rate (FDR), and also showing its robustness and versatility on various platforms and experimental data sets.
PITDI: A novel protein identification algorithm for tandem mass spectrometry based on target-decoy matching information
Xiangyu Lu, Simin Zhu; PITDI: A novel protein identification algorithm for tandem mass spectrometry based on target-decoy matching information. AIP Conf. Proc. 10 January 2019; 2058 (1): 020009. https://doi.org/10.1063/1.5085522
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