Potency of Antioxidant Peptides Encrypted in Commercially Important Marine Invertebrates: A Bioinformatics Approach

无脊椎动物 效力 抗氧化剂 无脊椎动物 生物信息学 计算生物学 化学 生物化学 生物 渔业 体外
作者
Andreas Vratsistas,Dimitris Vafidis
出处
期刊:Journal of Food Biochemistry [Wiley]
卷期号:2025 (1)
标识
DOI:10.1155/jfbc/5692584
摘要

Efficient and beneficial food utilization calls for sustainable and innovative practices that add value at every stage of production. In this study, we conducted a computational analysis of protein sequences from the bivalve Mytilus galloprovincialis , the crustacean Penaeus vannamei (whiteleg shrimp), the purple sea urchin Paracentrotus lividus , and the echinoderm Holothuria leucospilota , utilizing bioinformatic tools to estimate their antioxidant bioactive potential. This potential is indicated by the presence of small bioactive peptides encrypted within their sequences, which can be released by proteolytic enzymes. The peptides of interest from a total of 47 proteins were matched with known antioxidant peptides (APs) from the BIOPEP database. We studied the properties of 236 different peptides out of a total of 995 peptides encrypted in the proteins. To evaluate the bioactivity of peptides, we sorted them based on the predicted free radical scavenging (FRS) and ion‐chelating (CHEL) scores. Furthermore, to investigate protein–peptide interactions, molecular docking of selected peptides was performed with two protein models. Penaeus vannamei and Paracentrotus lividus exhibited the highest average antioxidant FRS potency. The most potent FRS peptides for each organism are encrypted in the kinesin‐like Boursin protein of Paracentrotus lividus , the Chitinase protein of Penaeus vannamei , the Myosin‐16 protein of Holothuria leucospilota , and the Perlucin‐like protein of Mytilus galloprovincialis . We demonstrate a correlation between the potency of APs, based on the FRS score, and their calculated binding affinity to serine/threonine protein kinase D1 and glutathione peroxidase. Our results highlight an effective approach to utilizing by‐products of primary production for mining high‐value ingredients.
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
大珂学家发布了新的文献求助10
刚刚
刚刚
核桃完成签到 ,获得积分10
刚刚
天真的听莲的应助被JanaL采纳,获得10
1秒前
Nole的应助被大力魂幽采纳,获得10
1秒前
Owen的应助被执着的稚晴采纳,获得10
1秒前
2秒前
molihuakai的应助被kky采纳,获得10
2秒前
Owen的应助被木子采纳,获得10
3秒前
舒仲完成签到,获得积分10
3秒前
4秒前
秀秀发布了新的文献求助30
4秒前
chenyp完成签到 ,获得积分10
5秒前
故意的不可完成签到,获得积分10
7秒前
7秒前
所所的应助被执着的山菡采纳,获得10
7秒前
7秒前
赘婿的应助被667采纳,获得10
8秒前
开心就吃猕猴桃完成签到,获得积分10
8秒前
9秒前
了了发布了新的文献求助10
9秒前
顺鑫发布了新的文献求助10
9秒前
木子完成签到,获得积分10
11秒前
12秒前
Hale完成签到,获得积分10
12秒前
顾矜的应助被百里烬言采纳,获得10
12秒前
cstghdm发布了新的文献求助10
12秒前
ssffzb2008完成签到,获得积分10
12秒前
77完成签到 ,获得积分10
13秒前
13秒前
13秒前
LIUJIALIANG发布了新的文献求助10
13秒前
kky发布了新的文献求助10
14秒前
14秒前
xiaoshuwang完成签到,获得积分10
15秒前
15秒前
16秒前
forerunner完成签到 ,获得积分10
17秒前
老王完成签到,获得积分10
17秒前
18秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
The Student's Guide to Social Neuroscience 600
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
A Will for the Machine: Computerization, Automation, and the Arts in South Africa 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7811028
求助须知:如何正确求助?哪些是违规求助? 9342673
关于积分的说明 20514022
捐赠科研通 7403860
什么是DOI,文献DOI怎么找? 3329614
关于科研通互助平台的介绍 2476392
邀请新用户注册赠送积分活动 2348504