Evidence map›Paper›PMID 42564824›Full record

ArticleFood chemistry: X2026

Identification and characterization of umami peptides from fermented soybean meal hydrolysates: Combined machine learning, cellular functional characterization, and structural interpretation.

Chenchen Cao, Weizheng Sun, Jianping Wu, Mouming Zhao, Guowan Su

Abstract read
In one paragraph

Article in Food chemistry: X, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Chenchen CaoSchool of Food Science and Engineering, South China University of Technology, Guangzhou 510640, China.
Weizheng SunSchool of Food Science and Engineering, South China University of Technology, Guangzhou 510640, China.
Jianping WuDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton T6G 2P5, Canada.
Mouming ZhaoSchool of Food Science and Engineering, South China University of Technology, Guangzhou 510640, China.
Guowan SuSchool of Food Science and Engineering, South China University of Technology, Guangzhou 510640, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study developed an efficient strategy for identifying umami and umami-enhancing peptides from fermented soybean meal hydrolysates (FSMH) to support the high-value utilization of soybean byproducts. An integrated approach combining virtual screening, molecular docking, sensory validation, intracellular calcium mobilization assays, and molecular dynamics simulation was employed. Sixteen peptides were synthesized for sensory validation, confirming 15 umami peptides. LE, AE, GEDLMVQ, and FEEINKV exhibited the strongest enhancement in both monosodium glutamate and inosinate/disodium guanylate systems, with GEDLMVQ showing the lowest enhancement threshold (0.0079 mM). Fermentation significantly increased most umami peptide concentrations, peaking at 24 h. Molecular docking implicated T1R1-VFTD as the main binding domain, mediated primarily by hydrogen bonding, hydrophobic contacts, and van der Waals forces. Representative peptides induced TAS1R1-associated Ca

Indexed as

Fermented soybean meal hydrolysatesIntracellular calcium mobilizationMolecular dockingMolecular dynamics simulationUmami-enhancing peptidesUmami peptides

Identifiers

PMID42564824
PMCPMC13445481

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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.