Development of novel peptides filtering algorithm based on peptide information

Dong Wang

doi:10.1117/12.3036637

13 July 2024 Development of novel peptides filtering algorithm based on peptide information

Dong Wang

Proceedings Volume 13208, Third International Conference on Biomedical and Intelligent Systems (IC-BIS 2024); 1320829 (2024) https://doi.org/10.1117/12.3036637
Event: 3rd International Conference on Biomedical and Intelligent Systems (IC-BIS 2024), 2024, Nanchang, China

Abstract

Variant novel peptides in cancer samples can provide guidelines and evidence for cancer research. In order to obtain more valuable novel peptides, protein databases need to contain more non-canonical proteins. However, the dramatic increase of database brings high false positive rate of peptides, the identification of novel peptides faces great challenges. We filter peptide results with high false positive rates by combining peptide retention time and peptide fragment ion informations using the prediction tool DeepLC and the validation algorithm SpectrumAI. Both methods are currently integrated into the pypgatk Python package and provide multiple parameters to meet individual needs.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dong Wang "Development of novel peptides filtering algorithm based on peptide information", Proc. SPIE 13208, Third International Conference on Biomedical and Intelligent Systems (IC-BIS 2024), 1320829 (13 July 2024); https://doi.org/10.1117/12.3036637

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