Identification of Novel Umami Peptides in Termitornyces albuminosus (Berk) Heim Soup by In Silico Analyses Combined with Sensory Evaluation: Discovering Potential Mechanism of Umami Taste Formation with Molecular Perspective

鲜味 品味 化学 电子舌 生物信息学 味觉感受器 生物化学 基因
作者
Haixia Yu,Shuai Zhao,Junjie Yi,Ming Du,Jia Liu,Yifeng Liu,Shengbao Cai
出处
期刊:Journal of Agricultural and Food Chemistry [American Chemical Society]
被引量:16
标识
DOI:10.1021/acs.jafc.3c04281
摘要

In this study, 24 peptides were identified in Termitornyces albuminosus (Berk) Heim soup, 12 of which were predicted to possess an umami taste based on the BIOPEP-UWM or Umami-MRNN databases. Among these 12 peptides, four peptides (i.e., QNDF, QGGDF, EPVTLT, and EVNYDFGGK) exhibited the lowest affinity energy with the umami receptor type 1 member 1 (T1R1) subunit. Molecular docking and molecular dynamics simulation further confirmed the strong binding of these four umami peptides to the umami receptor T1R1/T1R3, with the EVNYDFGGK forming the most stable complex. After synthesizing the four peptides, their umami taste was validated through sensory and electronic tongue analyses with recognition thresholds ranging from 0.0938 to 0.3750 mmol/L. Notably, the EVNYDFGGK peptide displayed the strongest umami taste (recognition threshold, 0.0938 mmol/L). This study may contribute to the industrial development of T. albuminosus by providing a new understanding of the mechanism of its umami formation.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
siqilinwillbephd完成签到,获得积分10
刚刚
刚刚
幸福耷发布了新的文献求助10
2秒前
2秒前
Qin应助777采纳,获得20
2秒前
科目三应助景胜杰采纳,获得10
2秒前
2秒前
3秒前
PP发布了新的文献求助10
4秒前
阮绿凝完成签到,获得积分10
4秒前
4秒前
Amorfati发布了新的文献求助10
4秒前
4秒前
6秒前
十七发布了新的文献求助10
6秒前
7秒前
脑洞疼应助外向的如柏采纳,获得10
7秒前
万能图书馆应助小小白采纳,获得10
7秒前
8秒前
朱杰完成签到 ,获得积分10
9秒前
9秒前
小缪完成签到,获得积分10
9秒前
9秒前
相隔远远川完成签到,获得积分10
10秒前
曾经芒果发布了新的文献求助10
10秒前
Melodie完成签到,获得积分10
11秒前
明芷蝶发布了新的文献求助10
12秒前
12秒前
mztn完成签到,获得积分10
12秒前
研友_VZG7GZ应助Oops采纳,获得10
12秒前
搜集达人应助Yh采纳,获得30
13秒前
13秒前
因心完成签到,获得积分10
13秒前
英俊的铭应助PP采纳,获得10
13秒前
13秒前
14秒前
嘉心糖发布了新的文献求助10
15秒前
子子发布了新的文献求助10
15秒前
妮妮关注了科研通微信公众号
16秒前
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Scientific Writing and Communication: Papers, Proposals, and Presentations 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6370318
求助须知:如何正确求助?哪些是违规求助? 8184259
关于积分的说明 17266518
捐赠科研通 5424904
什么是DOI,文献DOI怎么找? 2870073
邀请新用户注册赠送积分活动 1847081
关于科研通互助平台的介绍 1693826