Extensive characterization and antioxidant function prediction of endogenous peptides derived from Polygonatum cyrtonema Hua

内生 抗氧化剂 化学 功能(生物学) 生物化学 生物 细胞生物学
作者
Yanyan Zhang,Haixia Li,Peizi Liu,Keyi Chen,Shengjun Ma,Wei Cai
出处
期刊:Microchemical Journal [Elsevier BV]
卷期号:203: 110872-110872 被引量:5
标识
DOI:10.1016/j.microc.2024.110872
摘要

Polygonatum cyrtonema Hua (P. cyrtonema), a medicinal and edible, has a long-standing tradition of treating respiratory diseases, regulating immune function, and enhancing liver health. Although polysaccharides, saponins, and flavonoids have been identified as its major bioactive components, the presence and properties of bioactive peptides in P. cyrtonema are relatively understudied. This study utilized an alkali extraction-acid precipitation method to extract crude protein from P. cyrtonema. Subsequently, Nano-LC-Q Exactive MS was utilized to characterize successfully the sequences and abundances of endogenous peptides from different sources. A total of 2571 M1(endogenous) peptides and 2122 M2(crude protein) peptides were identified using a combination of database searches and de novo strategies, with significantly higher confidence levels observed for M2 peptides identified through the database search approach. Further analysis of subsequent overall differences reveals that, based on the chemical properties and bioinformatics analyses of peptides from different sources, the M1 peptide primarily consists of 4–6 amino acids (62.1 %), while the M2 peptide is mainly composed of more than 8 amino acids (60.8 %). Molecular docking technology was then applied to verify the antioxidant prediction results and to evaluate the differences in antioxidant potential between M1 peptides and M2 peptides, with seven of the top ten ranked peptides in terms of docking energy being M1 peptides. These findings notably advance our understanding of endogenous peptides in P. cyrtonema and provide valuable reference information for identifying potential candidate bioactive compounds. This information will support future comprehensive validation of the biological activities of these peptides in P. cyrtonema and contribute to drug discovery research.
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
yly完成签到,获得积分20
1秒前
1秒前
wg发布了新的文献求助10
1秒前
2秒前
山人出窍发布了新的文献求助10
3秒前
3秒前
诸葛晴天发布了新的文献求助10
4秒前
4秒前
天天快乐应助Luka采纳,获得10
4秒前
雾见春完成签到 ,获得积分10
4秒前
687发布了新的文献求助10
5秒前
Alicer完成签到,获得积分10
5秒前
caigou完成签到,获得积分10
6秒前
luoman5656完成签到,获得积分10
6秒前
Qi发布了新的文献求助10
7秒前
8秒前
9秒前
林间发布了新的文献求助10
9秒前
9秒前
DIAPTERA发布了新的文献求助10
13秒前
虚幻听安发布了新的文献求助10
14秒前
匆匆发布了新的文献求助10
15秒前
joshar发布了新的文献求助10
16秒前
李清竹完成签到,获得积分10
16秒前
17秒前
酷波er应助iamacrazyman采纳,获得20
18秒前
bkagyin应助汤圆软软软采纳,获得10
19秒前
Orange应助汤圆软软软采纳,获得10
19秒前
完美世界应助汤圆软软软采纳,获得10
19秒前
汉堡包应助汤圆软软软采纳,获得10
19秒前
科研通AI2S应助汤圆软软软采纳,获得10
19秒前
星辰大海应助汤圆软软软采纳,获得10
19秒前
20秒前
搜集达人应助汤圆软软软采纳,获得10
20秒前
天天快乐应助汤圆软软软采纳,获得10
20秒前
CipherSage应助汤圆软软软采纳,获得10
20秒前
桐桐应助山人出窍采纳,获得10
21秒前
21秒前
李爱国应助科研通管家采纳,获得10
22秒前
香蕉觅云应助科研通管家采纳,获得10
22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
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 2500
Atlas of Aligner Treatment and Planning A Case-Based Approach 1000
Rocket Propulsion Elements, 10th Edition 800
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Soil mites of the family Rhagidiidae (Actinedida: Eupodoidea). Morphology, Systematics, Ecology 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7448519
求助须知:如何正确求助?哪些是违规求助? 9047839
关于积分的说明 19288318
捐赠科研通 7073329
什么是DOI,文献DOI怎么找? 3240160
关于科研通互助平台的介绍 2405138
邀请新用户注册赠送积分活动 2224570