Molecular Targets and Mechanisms of Piperine Against Breast Cancer: A Network Pharmacology, Molecular Docking Analysis, and Toxicity Prediction

胡椒碱 小桶 计算生物学 乳腺癌 对接(动物) 吹笛者 药理学 癌症 基因 化学 生物 传统医学 医学 生物化学 基因表达 基因本体论 遗传学 护理部
作者
Santosh Prasad Chaudhary Kurmi,Dipanjan Karati
出处
期刊:Chemistry & Biodiversity [Wiley]
标识
DOI:10.1002/cbdv.202403180
摘要

ABSTRACT Breast cancer is still one of the major causes of cancer‐related death worldwide, which highlights the need for cutting‐edge therapeutic strategies. An alkaloid called piperine, which comes from Piper longum, has demonstrated encouraging anticancer effects. Piperine modulates different cancer signaling pathways and enzymes such as P53, apoptosis, and cell cycle regulation. Protein function and signaling pathway enrichment studies were made easier using the DAVID Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases, while the SwissTarget Prediction database was used to identify the target genes for piperine. Using STRING, Cytoscape, and the CytoHubba degree approach, protein‐protein interaction networks were investigated. Ninety‐three possible piperine target sites in breast cancer were found, most of which were connected to important cancer pathways. The therapeutic effect of piperine was demonstrated by analysis of KEGG pathways, molecular functions, cellular components, and biological processes. Following the identification of the top ten hub gene targets, further molecular docking and dynamic simulations (iMODS server) were performed on SRC, HSP90AA1, MTOR, and MDM2 to evaluate binding affinity, flexibility, and stability. These results were confirmed by survival, correlation, and Humane FP analyses, highlighting the function of piperine in focusing on the genes responsible with pathogenic breast cancer. This thorough investigation opens the door for more research and clinical uses by demonstrating piperine's potential as a new therapeutic agent for the treatment of breast cancer.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
略略略发布了新的文献求助10
1秒前
天光云影完成签到 ,获得积分10
1秒前
量子星尘发布了新的文献求助10
1秒前
SciGPT应助啊啊~秋~采纳,获得10
3秒前
3秒前
4秒前
YDC完成签到,获得积分10
4秒前
xuexue发布了新的文献求助10
4秒前
sansan完成签到,获得积分10
5秒前
7秒前
ZZ发布了新的文献求助10
7秒前
zhang发布了新的文献求助10
7秒前
lanxinyue完成签到,获得积分0
7秒前
科研通AI6应助to_ooooo采纳,获得10
8秒前
一只小葵应助summer采纳,获得10
8秒前
10秒前
ysy发布了新的文献求助30
12秒前
科研通AI2S应助涂惠芳采纳,获得10
12秒前
12秒前
12秒前
倔驴发布了新的文献求助10
15秒前
在水一方应助xuexue采纳,获得10
16秒前
啊啊~秋~发布了新的文献求助10
17秒前
拥军发布了新的文献求助10
17秒前
17秒前
奋斗的萝发布了新的文献求助10
19秒前
端庄的冰之完成签到,获得积分20
21秒前
22秒前
DrKe完成签到,获得积分10
22秒前
zhang发布了新的文献求助10
23秒前
大个应助jasonwee采纳,获得10
24秒前
25秒前
三三完成签到,获得积分10
26秒前
学术晋级者完成签到,获得积分10
26秒前
温玉完成签到 ,获得积分10
26秒前
量子星尘发布了新的文献求助10
27秒前
junn发布了新的文献求助10
28秒前
28秒前
xiaolin关注了科研通微信公众号
29秒前
LJR发布了新的文献求助10
30秒前
高分求助中
(禁止应助)【重要!!请各位详细阅读】【科研通的精品贴汇总】 10000
The Netter Collection of Medical Illustrations: Digestive System, Volume 9, Part III – Liver, Biliary Tract, and Pancreas, 3rd Edition 666
Social Epistemology: The Niches for Knowledge and Ignorance 500
优秀运动员运动寿命的人文社会学因素研究 500
Medicine and the Navy, 1200-1900: 1815-1900 420
Introducing Sociology Using the Stuff of Everyday Life 400
Conjugated Polymers: Synthesis & Design 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 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 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4247369
求助须知:如何正确求助?哪些是违规求助? 3780462
关于积分的说明 11869270
捐赠科研通 3433681
什么是DOI,文献DOI怎么找? 1884551
邀请新用户注册赠送积分活动 936172
科研通“疑难数据库(出版商)”最低求助积分说明 842126