From in silico screening to experimental verification: Identification of novel umami peptides from tamarind (

Sisi Huang, Shurui Li, Xiaoying Wang, Xuening Jiu, Shengbao Cai

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.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sisi HuangFaculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan Province, People's Republic of China, 650500.

Shurui LiFaculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan Province, People's Republic of China, 650500.

Xiaoying WangFaculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan Province, People's Republic of China, 650500.

Xuening JiuFaculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan Province, People's Republic of China, 650500.

Shengbao CaiFaculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming, Yunnan Province, People's Republic of China, 650500.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Umami peptides are key contributors to food flavor enhancement. In this study, novel umami peptides from tamarind seed proteins were identified using an integrated strategy combining in silico screening and experimental validation. A virtual peptide library was screened based on physicochemical properties and bioactivity, yielding six candidates (VSDY, DGIDF, AKNVSDYL, YNDPHC, VPPD, and NDPHCQY). Molecular docking and dynamics simulations revealed stable binding to the umami receptor T1R1/T1R3 via hydrogen bonding and hydrophobic interactions, with binding affinities of -7.9 to -8.8 kcal/mol. Among them, AKNVSDYL exhibited the strongest interaction and highest stability. Sensory evaluation and electronic tongue analysis confirmed the umami characteristics of all peptides, with AKNVSDYL showing the highest intensity, consistent with computational results. Enzymatic hydrolysis followed by UHPLC-ESI-HRMS/MS verified the presence of all predicted peptides. This study provides an efficient strategy for discovering natural umami peptides and supports the valorization of tamarind seed byproducts.

Indexed as

Electronic tongueIn silico screeningMolecular dockingUmami peptideUmami receptor T1R1/T1R3

Identifiers

PMID42602777

DOI10.1016/j.fochx.2026.104271

PMCPMC13474684

What Socratic holds

Textmetadata

Read underepoch 390

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 Socratic graph.