A strategy based on gene sequencing and molecular docking for analysis and prediction of bioactive peptides in Shuxuetong injection

化学 计算生物学 体外 对接(动物) 基因 生物化学 组合化学 生物 医学 护理部
作者
Xinyi Jiao,Yanchao Xing,Haitao Wang,Xin Jin,Tingting Zhang,Xingru Peng,Rui Li,Liuyi Liang,Rui Liu,Lifeng Han,Zheng Li
出处
期刊:Biophysical Chemistry [Elsevier BV]
卷期号:282: 106749-106749 被引量:4
标识
DOI:10.1016/j.bpc.2021.106749
摘要

Peptides are a class of protein fragments with relatively high biological activity and intense specificity, which play crucial role in the treatment of Shuxuetong injection (SXT). However, the extraordinary complexity of Chinese medicinal formulates and the lack of systematic identification methods are primary challenges for study of pharmacodynamic peptides. In addition, infinitesimal peptides contents further hinder the identification and structural characterization of polypeptide by traditional means. In this paper, we described a strategy that LC-MS combined with molecular docking to systematically illustrate the peptide components of SXT. The key to this research was used of gene sequencing to establish a SXT protein database to further achieve the separation and enrichment of chemical methods. Moreover, the ADRA2A, PAR4 and DRD3 were precisely docked with the identified peptides. The result indicated that 12 compounds had stable binding ability and were speculated to be the latent bioactive monomers for the treatment of stroke. Additionally, 12 peptides were verified by cell-based experiment. The results showed that only YLKTT could indeed protect astrocytes from oxygen glucose deprivation/reoxygenation (OGD/R). The YLKTT showed higher activity than the others in vitro. It might be a completely new compound that has never been reported before, providing the basis for further research and a new paradigm for stroke.

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
一川完成签到,获得积分10
1秒前
1秒前
zjmm发布了新的文献求助10
1秒前
包容的紫萍完成签到 ,获得积分10
1秒前
牧紫菱完成签到,获得积分10
2秒前
小杨完成签到,获得积分10
3秒前
doranlou发布了新的文献求助10
3秒前
学无涯完成签到,获得积分10
4秒前
5秒前
熊二浪完成签到,获得积分10
5秒前
xyysee完成签到,获得积分10
6秒前
snowman应助朴素的梦岚采纳,获得10
6秒前
kento完成签到,获得积分0
6秒前
7秒前
小马甲应助虚幻凌晴采纳,获得10
7秒前
纪外绣完成签到,获得积分10
7秒前
修利完成签到,获得积分10
7秒前
与离完成签到 ,获得积分10
8秒前
开放的寒梅完成签到,获得积分10
8秒前
科研人发布了新的文献求助10
8秒前
随缘来一个吧完成签到 ,获得积分10
9秒前
xucc完成签到,获得积分10
9秒前
sharkmelon应助郑郑采纳,获得10
9秒前
yijiexiao2002完成签到,获得积分10
9秒前
柔弱的尔白完成签到,获得积分10
9秒前
稳重紫蓝完成签到 ,获得积分10
9秒前
9秒前
朴素八宝粥完成签到,获得积分10
9秒前
求助完成签到,获得积分0
9秒前
9秒前
愉快寒香完成签到,获得积分10
10秒前
zjmm完成签到,获得积分10
10秒前
今后应助简单的K采纳,获得10
10秒前
mingweige完成签到,获得积分10
11秒前
11秒前
11秒前
虚幻靖易完成签到,获得积分10
12秒前
全球发布了新的文献求助10
12秒前
12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
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 600
Bounds for Statistical Estimation in Semiparametric Models 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 6498487
求助须知:如何正确求助?哪些是违规求助? 8294347
关于积分的说明 17697797
捐赠科研通 5594590
什么是DOI,文献DOI怎么找? 2917701
邀请新用户注册赠送积分活动 1894709
关于科研通互助平台的介绍 1755339