Peposx-Exhaust: A Lightweight and Efficient Tool for Identification of Short Peptides

30 Pages Posted: 8 Nov 2023

See all articles by Wanshun Liu

Wanshun Liu

Wuyi University

Mouming Zhao

South China University of Technology

Lishe Gan

Wuyi University

Baoguo Sun

Beijing Technology and Business University

Shiqi He

Wuyi University

Liu Yang

Hunan Agricultural University

Yang Liu

Wuyi University

Wu Li

Wuyi University

Jing Chen

Wuyi University

Yang Liu

Wuyi University

Jianan Zhang

South China University of Technology

Jucai Xu

Wuyi University

Abstract

Short peptides have become the focus of recent research due to their variable bioactivities, good digestibility and wide existences in food-derived protein hydrolysates. However, due to the highly complexity of the samples, identifying short peptides still remains a challenge. In this work, a tool, named PeposX-Exhaust, was developed for short peptide identification. Through validation with known peptides, PeposX-Exhaust identified all the submitted spectra and the accuracy rate reached 75.36%, and the adjusted accuracy rate further reached 98.55% when with top 5 candidates considered. Compared with other tools, the accuracy rate by PeposX-Exhaust was at least 70% higher than two database-search tools and 15% higher than the other two de novo-sequencing tools, respectively. For further application, the numbers of short peptides identified from soybean, walnut, collagen and bonito protein hydrolysates reached 1145, 628, 746 and 681, respectively. This fully demonstrated the superiority of the tool in short peptide identification.

Keywords: Short peptides, identification, Food-derived peptides, Peptidomics, Protein hydrolysates, Sequencing method.

Suggested Citation

Liu, Wanshun and Zhao, Mouming and Gan, Lishe and Sun, Baoguo and He, Shiqi and Yang, Liu and Liu, Yang and Li, Wu and Chen, Jing and Liu, Yang and Zhang, Jianan and Xu, Jucai, Peposx-Exhaust: A Lightweight and Efficient Tool for Identification of Short Peptides. Available at SSRN: https://ssrn.com/abstract=4627176 or http://dx.doi.org/10.2139/ssrn.4627176

Wanshun Liu

Wuyi University ( email )

Jiangmen
China

Mouming Zhao

South China University of Technology ( email )

Wushan
Guangzhou, AR 510640
China

Lishe Gan

Wuyi University ( email )

Jiangmen
China

Baoguo Sun

Beijing Technology and Business University ( email )

No. 11/33, Fucheng Road, Haidian District
Liangxiang
Beijing, 102488
China

Shiqi He

Wuyi University ( email )

Jiangmen
China

Liu Yang

Hunan Agricultural University ( email )

China

Yang Liu

Wuyi University ( email )

Jiangmen
China

Wu Li

Wuyi University ( email )

Jiangmen
China

Jing Chen

Wuyi University ( email )

Jiangmen
China

Yang Liu

Wuyi University ( email )

Jiangmen
China

Jianan Zhang

South China University of Technology ( email )

Jucai Xu (Contact Author)

Wuyi University ( email )

Jiangmen
China

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
21
Abstract Views
162
PlumX Metrics