Application and Evaluation of the PepOSX Workstation in Peptidomic Analysis of Food-derived Protein Hydrolysates
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Abstract:
Peptidomic analysis is the key to elucidating the changing trend of peptides during processing. In this paper, the performance of the PepOSX software in peptidomic identification of the peptides in food-derived protein hydrolysates spiked with known peptide standards was evaluated, and the effects of different identification approaches and working parameters on the detection rates and accuracy of single peptides were studied. For the sequence database-independent analysis of the known collagen and casein peptide standard mixtures, the accuracy rates of the Exhaust engine were 67.86% and 36.36%, respectively, and the corresponding detection rates reached 80% and 100%, respectively, indicating the good adaptivity of the engine for discovering unknown short peptides. The accuracy rates of the Search engine based on sequence database for the identification of the above-mentioned mixed standards were as high as 71.43% and 90.48%, respectively, with the corresponding detection rates being 91.30% and 100%, showing the superior capabilities of the engine in analyzing peptides from the samples with known protein sources. The above-mentioned engines were combined and applied in peptidomic analysis of protein hydrolysates. Compared with the performance of SEQUEST, MyriMatch and X! Tandem, PepOSX has a much higher accuracy rate, and the number of identified peptides rom the casein and soybean protein hydrolysates was about 3~4 times that of the latter. This fully demonstrated the applicability and reliability of the PepOSX workstation in the identification of non-specific peptides. In the future, PepOSX is expected to provide effective technical support for exploring new bio-active peptides or revealing the mechanism underlying the changes in peptides.
