Virtual Screening of GLP-1-Secreting Peptides from Pea Protein Hydrolysates via Peptide Transporter 1 (PepT1) Activation-Based Molecular Docking

水解物 化学 对接(动物) 运输机 生物化学 虚拟筛选 水解 药物发现 医学 基因 护理部
作者
Mingkai Zhang,Ling Zhu,Hui Zhang,Xingguo Wang,Tongtong Liu,Gangcheng Wu
出处
期刊:Journal of Agricultural and Food Chemistry [American Chemical Society]
卷期号:72 (24): 13646-13653 被引量:4
标识
DOI:10.1021/acs.jafc.4c00999
摘要

Dietary proteins regulate glucose homeostasis via intestinal protein sensing-induced glucagon-like peptide 1 (GLP-1) secretion. However, the reported GLP-1-secreting peptides derived from dietary proteins are few, and studies regarding GLP-1-secreting peptide identification by traditional separation and purification methods are laborious. Herein, we have rapidly virtual-screened two GLP-1 secreting peptides from pea protein hydrolysates (PPHs) by peptidomic analysis and molecular docking with peptide transporter 1 (PepT1). PPH-stimulated GLP-1 secretion decreased after adding the PepT1 antagonist 4-aminobenzoic acid (4-AMBA), indicating that PepT1 activation was involved in PPH-induced GLP-1 secretion in NCI-H716 cells. Subsequently, 307 tripeptides in PPHs were obtained through peptidomic analysis. Among them, two GLP-1-secreting peptides, FLR and LRW, were identified via PepT1 activation-based molecular docking. FLR and LRW (1 mg/mL) increased GLP-1 levels to 170.20% ± 27.83% and 272.37% ± 45.96%, respectively (p < 0.05). More importantly, molecular docking implied that the interactions between peptides and the active center of PepT1 (especially Glu595, Asn329, and Asn171 in the N-pocket and Arg27 in the C-pocket) were crucial for peptide activity in stimulating GLP-1 secretion. Our study suggested that the combination of peptidomics and PepT1 activation-based molecular docking is a promising approach for identification of GLP-1-secreting peptides.
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
SciGPT应助were采纳,获得10
刚刚
海浪发布了新的文献求助10
刚刚
刚刚
ontheway发布了新的文献求助10
刚刚
天天快乐应助XYYX采纳,获得10
2秒前
耳放关注了科研通微信公众号
2秒前
不是省油的灯完成签到 ,获得积分10
3秒前
3秒前
llwxx发布了新的文献求助10
3秒前
哈哈哈完成签到,获得积分10
4秒前
4秒前
槐序二三发布了新的文献求助10
4秒前
小蘑菇应助mmy采纳,获得10
5秒前
橙子完成签到,获得积分10
5秒前
5秒前
知性的咖啡豆完成签到,获得积分10
6秒前
shine发布了新的文献求助30
6秒前
qqq完成签到,获得积分10
6秒前
6秒前
今后应助Messi采纳,获得10
6秒前
princess关注了科研通微信公众号
6秒前
宝宝哎呀哦完成签到,获得积分10
7秒前
wise111发布了新的文献求助20
7秒前
7秒前
hebei应助赵小坤堃采纳,获得10
7秒前
XYYX完成签到,获得积分10
8秒前
bkagyin应助浮生采纳,获得10
8秒前
8秒前
10秒前
10秒前
10秒前
英俊的铭应助Daniel采纳,获得10
11秒前
11秒前
科研通AI6应助masterwill采纳,获得10
11秒前
Miao发布了新的文献求助30
11秒前
12秒前
正正发布了新的文献求助10
12秒前
13秒前
XYYX发布了新的文献求助10
13秒前
13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
Binary Alloy Phase Diagrams, 2nd Edition 8000
Encyclopedia of Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
From Victimization to Aggression 1000
Exosomes Pipeline Insight, 2025 500
Red Book: 2024–2027 Report of the Committee on Infectious Diseases 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5648206
求助须知:如何正确求助?哪些是违规求助? 4775141
关于积分的说明 15043236
捐赠科研通 4807251
什么是DOI,文献DOI怎么找? 2570608
邀请新用户注册赠送积分活动 1527392
关于科研通互助平台的介绍 1486407