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

preprint · SSRN Electronic Journal · 2023

preprint · SSRN Electronic Journal · 2023. Wanshun Liu et al.
Date 2023-11-08
Type preprint
Venue SSRN Electronic Journal
Publisher Elsevier BV
Contribution algorithm
DOI 10.2139/ssrn.4627176
Citations (OpenAlex) 3

Peer-reviewed version: PeposX-Exhaust: A lightweight and efficient tool for identification of short peptides (2024-06-01, Food Chemistry: X)

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. Liu Yang · Hunan Agricultural University
  7. Yang Liu · Hunan Agricultural University, 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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