Insights into Molecular Mechanism of Nicotine Addiction Based on Network Pharmacology and Molecular Docking Strategy

尼古丁 上瘾 小桶 对接(动物) 药理学 尼古丁瘾 计算生物学 化学 生物 神经科学 基因 生物化学 医学 基因表达 护理部 转录组
作者
Sen Zhang,Yuhang Zhao,Zewen Chang,Huan Chen,Hongwei Hou
出处
期刊:Journal of computational biophysics and chemistry [World Scientific]
卷期号:: 1-11
标识
DOI:10.1142/s2737416523500497
摘要

For exploring the molecular mechanism of nicotine addiction, nicotine addiction-related targets and signaling pathways were analyzed using network pharmacology and molecular docking. The target proteins of nicotine and addiction were obtained from SEA and Gene Cards database, respectively. Then, the overlapped targets of nicotine and addiction were considered as the targets of nicotine addiction. The protein–protein interaction (PPI) networks were constructed based on STRING and Cytoscape software, and the hub targets of nicotine addiction were screened based on CytoHubba and MCODE plug-ins. In addition, GO function analysis and KEGG pathway enrichment analysis were carried out for nicotine addiction targets. Finally, molecular docking was used to verify the key targets of nicotine addiction. The results showed that 87 target proteins were at least involved in nicotine addiction, and the hub targets included DRD2, CHRM1, MAOA, MAOB, CHRNA7 and SLC6A4. GO function analysis referred to 591 GO entries and 31 signaling pathways were obtained through the analysis of KEGG. Molecular docking showed that nicotine could bind to the surface-active pockets of protein MAOA, MAOB, CHRNA7, DRD2 and SLC6A4 using less minimum binding free energy (< –5 Kcal/moL), which was mainly from hydrogen bond and hydrophobic interaction. Summarily, molecular mechanism of nicotine addiction is very complex and involves in various target proteins and pathways based on network pharmacology analysis, in which target proteins MAOA, MAOB, CHRNA7, DRD2, SLC6A4 can directly interact with nicotine and cooperatively regulate different pathways such as neural ligand receptor interaction and nicotine addiction pathways to induce addiction.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
DddZS发布了新的文献求助10
1秒前
2秒前
flysky120发布了新的文献求助30
4秒前
4秒前
mmlb完成签到,获得积分20
5秒前
吉祥财子完成签到,获得积分10
5秒前
yao完成签到,获得积分10
6秒前
7秒前
陈向琴发布了新的文献求助10
7秒前
科研小白发布了新的文献求助10
8秒前
xiying完成签到 ,获得积分10
8秒前
香锅不要辣完成签到 ,获得积分10
8秒前
科研通AI2S应助乐正念云采纳,获得30
9秒前
13秒前
隐形之玉发布了新的文献求助10
14秒前
默默的安白完成签到 ,获得积分10
15秒前
秋天的向日葵完成签到 ,获得积分10
16秒前
mmlb关注了科研通微信公众号
16秒前
17秒前
Junlei完成签到,获得积分10
17秒前
18秒前
茄子发布了新的文献求助10
18秒前
kento应助加菲丰丰采纳,获得150
21秒前
22秒前
22秒前
Roxanne发布了新的文献求助10
22秒前
干净翠桃发布了新的文献求助10
23秒前
23秒前
代小葵完成签到,获得积分20
24秒前
26秒前
繁荣的映雁完成签到,获得积分10
28秒前
29秒前
小蘑菇应助小云采纳,获得10
29秒前
温暖的颜演完成签到 ,获得积分10
30秒前
lihongchi发布了新的文献求助10
34秒前
34秒前
34秒前
34秒前
英俊的铭应助TY采纳,获得10
35秒前
走着走着就散了完成签到,获得积分10
35秒前
高分求助中
Sustainability in Tides Chemistry 2800
Kinetics of the Esterification Between 2-[(4-hydroxybutoxy)carbonyl] Benzoic Acid with 1,4-Butanediol: Tetrabutyl Orthotitanate as Catalyst 1000
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Handbook of Qualitative Cross-Cultural Research Methods 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3137638
求助须知:如何正确求助?哪些是违规求助? 2788565
关于积分的说明 7787590
捐赠科研通 2444902
什么是DOI,文献DOI怎么找? 1300139
科研通“疑难数据库(出版商)”最低求助积分说明 625814
版权声明 601023