PeposX-Exhaust: A lightweight and efficient tool for identification of short peptides

peer-reviewed · Food Chemistry: X · 2024

peer-reviewed · Food Chemistry: X · 2024. Wanshun Liu et al. Short peptides have become the focus of recent research due to their variable bioactivities, good…
Date 2024-06-01
Type peer-reviewed
Venue Food Chemistry: X
Publisher Elsevier BV
Contribution algorithm
DOI 10.1016/j.fochx.2024.101249
Citations (OpenAlex) 18

Preprint version: Peposx-Exhaust: A Lightweight and Efficient Tool for Identification of Short Peptides (2023-11-08, SSRN Electronic Journal)

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 high 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.

Authors

  1. Wanshun Liu · Wuyi University
  2. Mouming Zhao · South China University of Technology, Wuyi University
  3. Lishe Gan · Wuyi University, Zhejiang University
  4. Baoguo Sun · Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Technology and Business University
  5. Shiqi He · Wuyi University
  6. Yang Liu · Hunan Agricultural University, Wuyi University
  7. Lei Liu · Wuyi University
  8. Wu Li · Wuyi University
  9. Jing Chen · Wuyi University
  10. Jianan Zhang · South China University of Technology
  11. Jucai Xu · Wuyi University

Methods and tools

  • PeposX-Exhaust: Identifies short bioactive peptides from food hydrolysates by exhaustive candidate scoring, outperforming two database-search and two de novo tools on known peptides.

Methods it uses

  • PEAKS: Commercial DP-based de novo
  • PepNovo: Probabilistic network + DP
  • pNovo 3: Learning-to-rank + pDeep

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