Bioinformatics‐based and molecular docking study on the mechanism of action of Galla chinensis in the treatment of diabetic foot ulcers

小桶 公共化学 生物 计算生物学 转录组 对接(动物) 生物信息学 传统医学 基因 生物化学 基因表达 医学 护理部
作者
Shuyuan Fan,Yue Xu,Feng Qiu,Jing Liu,Taowen Pan,Kun Li,Bin Li,Yun-Peng Diao
出处
期刊:Biotechnology and Applied Biochemistry [Wiley]
卷期号:70 (1): 387-402 被引量:3
标识
DOI:10.1002/bab.2365
摘要

Based on transcriptome sequencing and molecular biology, the active ingredient of Galla chinensis in the treatment of diabetic foot ulcers was identified, and its mechanism of action was analyzed.(1) Searching for the main components of the compounds contained in G. chinensis in the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) and literature research. (2) Prediction of their targets using the PubChem, SwissTargetPrediction, and BATMAN databases. (3) The CTD, Genecards. and NCBI databases were used to mine the transcriptome sequencing data for target genes related to diabetic foot ulcers. (4) Cytoscape 3.7.0 software was used to construct protein/gene interaction network maps for G. chinensis. (5) GO and KEGG analysis was carried out using the DAVID database. (6) Heatmap and volcano map analysis was carried out with R software. (7) The preliminary validation and visualization of molecular docking were performed using AutoDockVina and PyMOL software. After the screening of TCMSP and literature research, we obtained nine active ingredients of G. chinensis, 53 targets for diabetic foot ulcers; 40 biological processes, 30 cell compositions, and 30 molecular functions by GO analysis; and 24 signaling pathways, including the HIF-1 signaling pathway and VEGF signaling pathway. were obtained by KEGG analysis. The molecular docking results showed that the main active ingredients of Galla chinensis had good binding activities with their corresponding target proteins. In this study, G. chinensis was analyzed for its potential value in the treatment of diabetic foot ulcers due to its anti-inflammatory and wound-healing effects.
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
wwewew发布了新的文献求助10
刚刚
2秒前
柯米克发布了新的文献求助10
2秒前
领导范儿应助十三艘船采纳,获得10
3秒前
北风应助石头采纳,获得10
3秒前
别让我误会完成签到 ,获得积分10
4秒前
黄林旋发布了新的文献求助30
5秒前
chenzhezhixp发布了新的文献求助10
6秒前
爆米花应助怡然如容采纳,获得20
6秒前
6秒前
JingjingYao完成签到,获得积分10
7秒前
7秒前
传奇3应助柯米克采纳,获得10
9秒前
领导范儿应助黄林旋采纳,获得10
10秒前
10秒前
10秒前
浩二发布了新的文献求助30
10秒前
10秒前
andy发布了新的文献求助10
10秒前
对波完成签到,获得积分10
11秒前
景风完成签到,获得积分10
12秒前
科研通AI5应助现代的代梅采纳,获得10
14秒前
zp完成签到,获得积分10
15秒前
十三艘船发布了新的文献求助10
15秒前
loey发布了新的文献求助10
15秒前
刘艺娜完成签到,获得积分10
16秒前
怡然如容应助文件撤销了驳回
16秒前
傲娇的高烽完成签到 ,获得积分10
16秒前
wu发布了新的文献求助10
16秒前
17秒前
17秒前
18秒前
科研通AI5应助fan采纳,获得10
18秒前
20秒前
肖sir666发布了新的文献求助10
20秒前
21秒前
科研通AI5应助年轻的牛马采纳,获得10
21秒前
XX发布了新的文献求助10
21秒前
KK发布了新的文献求助10
23秒前
23秒前
高分求助中
Les Mantodea de Guyane Insecta, Polyneoptera 2500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
Technologies supporting mass customization of apparel: A pilot project 450
A China diary: Peking 400
Brain and Heart The Triumphs and Struggles of a Pediatric Neurosurgeon 400
Cybersecurity Blueprint – Transitioning to Tech 400
Mixing the elements of mass customisation 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3784379
求助须知:如何正确求助?哪些是违规求助? 3329392
关于积分的说明 10242191
捐赠科研通 3044907
什么是DOI,文献DOI怎么找? 1671397
邀请新用户注册赠送积分活动 800264
科研通“疑难数据库(出版商)”最低求助积分说明 759342