Evidence map›Paper›PMID 41227747›Full record

ArticleFoods (Basel, Switzerland)2025

The Screening Strategy and Activity Investigation of Skipjack Tuna (

Qiufeng Song, Panpan Wang, Yue Li, Weiliang Guan, Luyun Cai

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Qiufeng SongNingbo Global Innovation Center, Zhejiang University, Ningbo 315100, China.
Panpan WangNingbo Global Innovation Center, Zhejiang University, Ningbo 315100, China.
Yue LiHade College, Ocean University of China, Qingdao 266100, China.
Weiliang GuanCollege of Light Industry and Food Engineering, Guangxi University, Nanning 530004, China.ORCID 0009-0008-1235-817X
Luyun CaiNingbo Global Innovation Center, Zhejiang University, Ningbo 315100, China.ORCID 0000-0003-3996-1565

Funding

National Natural Science Foundation of China 32302154Ningbo Science and Technology Plan Project 2022S148 and2023S235the Ningbo Key R & D Program 2024Z277
6 · The paper itself

Abstract

Marine-derived proteins are important sources in the preparation of umami peptides due to their delicious and unique taste. The research endeavored to elucidate the established umami peptide library derived from Skipjack tuna protein through a combined approach of computational and experimental proteolysis. A total of five potential shared umami peptides (GVGGHGAGG, GVTGVG, GGVAGCQGK, MANR, and SPAAK) were identified through database and molecular docking, which revealed that hydrogen bonds and electrostatic forces critically influence the interaction between peptides and T1R1/T1R3. The specific amino acids within the T1R1/T1R3 corresponding to glutamic acid, serine, arginine, aspartic acid, and histidine significantly influenced the affinity for umami peptides. It was verified through sensory and electronic tongue analysis that all these peptides exhibit umami performance and flavor-enhancing effects. Furthermore, bioinformatic predictions and computer simulations exploring the biological activity of umami peptides revealed that GVGGHGAGG, GVTGVG, and GGVAGCQGK, combined with Keap1, presented potential antioxidant activity. These observations offered new insights for identifying bioactive umami peptides from aquatic products and a theoretical foundation for developing novel seasonings.

Indexed as

computer-simulated hydrolysismolecular dockingmolecular dynamics simulationumami peptide

Identifiers

PMID41227747
PMCPMC12607353

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.