Flavonoids and their derivatives as DNA topoisomerase inhibitors with anti-cancer activity in various cell models: Exploring a novel mode of action

拓扑异构酶 生物 生物化学 类黄酮 DNA 拓扑异构酶抑制剂 DNA复制 行动方式 药理学 计算生物学 抗氧化剂
作者
Przemysław Sitarek,Anna Merecz-Sadowska,Joanna Sikora,Malwina Dudzic,Natasza Wiertek-Płoszaj,Laurent Picot,Tomasz Śliwiński,Tomasz Kowalczyk
出处
期刊:Pharmacological Research [Elsevier]
卷期号:209: 107457-107457 被引量:22
标识
DOI:10.1016/j.phrs.2024.107457
摘要

Flavonoids, a diverse group of plant-derived secondary metabolites, have garnered significant attention for their potential anti-cancer properties. This review explores the role of flavonoids as inhibitors of DNA topoisomerases, key enzymes essential for DNA replication, transcription, and cell division. The article offers a comprehensive overview of flavonoid classification, biosynthesis, and their widespread natural occurrence. It further delves into the molecular mechanisms through which flavonoids exert their anti-cancer effects, emphasizing their interactions with topoisomerases. The review provides a thorough analysis of both in vitro and in vivo studies that highlight the topoisomerase inhibitory activities of various flavonoids and their derivatives. Key findings demonstrate that flavonoids can function as catalytic inhibitors, poisons, or DNA intercalators, affecting both type I and type II topoisomerases. The structure-activity relationships of flavonoids concerning their topoisomerase inhibitory potency are also examined. This review underscores the potential of flavonoids as promising lead compounds for the development of novel topoisomerase inhibitors, which could have important implications for cancer therapy. However, it also acknowledges the need for further research to fully understand the intricate interactions between flavonoids and topoisomerases within the cellular environment.
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
ink完成签到,获得积分10
刚刚
Aster发布了新的文献求助20
刚刚
1秒前
Cody完成签到,获得积分10
1秒前
科研通AI6.2应助zimuxinxin采纳,获得10
1秒前
科研通AI6.2应助雷小仙儿采纳,获得10
1秒前
啦啦啦啦完成签到,获得积分10
1秒前
里清水发布了新的文献求助10
2秒前
逍遥子发布了新的文献求助10
2秒前
Might完成签到,获得积分20
2秒前
周围发布了新的文献求助10
2秒前
2秒前
隐形曼青应助地球采纳,获得10
2秒前
2秒前
调皮凝芙发布了新的文献求助10
2秒前
3秒前
天天快乐应助饱满的荧采纳,获得10
3秒前
3秒前
ZR完成签到,获得积分10
3秒前
韩a11发布了新的文献求助10
4秒前
牛逼的硕士生完成签到,获得积分10
4秒前
5秒前
热心草莓发布了新的文献求助10
5秒前
万能图书馆应助hsadu采纳,获得10
5秒前
完美世界应助银玥采纳,获得10
6秒前
ZONG发布了新的文献求助10
6秒前
6秒前
Focus发布了新的文献求助10
6秒前
6秒前
诚心山芙发布了新的文献求助10
7秒前
爆米花应助紫文采纳,获得10
7秒前
yixuan完成签到 ,获得积分10
7秒前
7秒前
8秒前
lucky发布了新的文献求助10
8秒前
sci_zt发布了新的文献求助10
8秒前
Vater发布了新的文献求助10
8秒前
香蕉觅云应助Eggbro采纳,获得30
9秒前
彩彩发布了新的文献求助10
9秒前
9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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Digital Twins of Advanced Materials Processing 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6039000
求助须知:如何正确求助?哪些是违规求助? 7767768
关于积分的说明 16224838
捐赠科研通 5185020
什么是DOI,文献DOI怎么找? 2774784
邀请新用户注册赠送积分活动 1757613
关于科研通互助平台的介绍 1641850