Design and Synthesis of Gefitinib Derivatives as Potential Drugs fo r Cancer Treatment: Antiproliferative Activity, Molecular Docking, and ADMET Prediction

吉非替尼 化学 表皮生长因子受体抑制剂 对接(动物) IC50型 细胞凋亡 A549电池 肺癌 铅化合物 药理学 结构-活动关系 表皮生长因子受体 体外 生物化学 受体 生物 肿瘤科 医学 护理部
作者
Xiaoyan Ma,Min Shan,Yunlong Lu
出处
期刊:Letters in Drug Design & Discovery [Bentham Science Publishers]
卷期号:21 (9): 1555-1568
标识
DOI:10.2174/1570180820666230810164118
摘要

Background: Non-small cell lung cancer is one of the most common cancers worldwide, and targeted chemotherapy has become a kind of the main treatment. Gefitinib, the most widely studied targeted agent in non-small cell lung cancer, is an orally active tyrosine kinase inhibitor. However, gefitinib inevitably generates acquired drug resistance, leading to treatment failure. Objective: A new class of compounds containing 4-anilinoquinazoline lead structure was designed and synthesized by modifying the structure of gefitinib. These compounds are expected to exert better anticancer activity and better binding to the EGFR-TK domain, enrich the structure of 4-anilinoquinazoline derivatives and inspire further structural modifications. Methods: The antiproliferative activity of nine derivatives was determined in three cancer cell lines (A549, PC9, and HepG2) using the MTT method. The ADMET profile of all compounds was predicted, and the binding affinity of the compounds (5 and 6) to EGFR was predicted by Schrödinger. In addition, the effect of these compounds (3-6) in inducing apoptosis in HepG2 cells was also studied. Results: Four (3, 5, 6 and 9) of the newly synthesized derivatives exhibited superior antiproliferative activity against A549 to gefitinib (IC50 = 12.64 ± 3.59 μM), with compound 5 having the best activity (IC50 = 7.39 ± 1.24 μM). Moreover, the ability of compounds (3-6) to induce HepG2 cell apoptosis was significantly better than that of gefitinib. Conclusion: Nine structures (compounds 2-10) were synthesized and characterized, and compound 5 had the best antiproliferative activity. Compound 3 possessed the best ability to induce HepG2 apoptosis. Also, ADMET calculations were performed in silico, and the results revealed that compound 3 has more suitable characteristics as a potential drug candidate.

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
彭于晏应助Abi0203采纳,获得150
1秒前
1秒前
1秒前
1秒前
1秒前
2秒前
2秒前
小蘑菇应助瘦瘦诗兰采纳,获得10
2秒前
核桃应助刘晴晴采纳,获得30
3秒前
Starry完成签到,获得积分10
3秒前
图图完成签到,获得积分10
3秒前
4秒前
顺心人达完成签到,获得积分10
4秒前
4秒前
hahahahaha发布了新的文献求助10
4秒前
华仔应助罗显发采纳,获得10
4秒前
pluto应助辛勤搞科研采纳,获得10
5秒前
烂漫的涫发布了新的文献求助10
5秒前
脑洞疼应助LKT采纳,获得10
6秒前
清脆山槐完成签到,获得积分10
6秒前
brick2024发布了新的文献求助10
6秒前
fjn2002完成签到,获得积分10
6秒前
6秒前
顺心人达发布了新的文献求助10
6秒前
kk发布了新的文献求助10
7秒前
能饮一完成签到 ,获得积分10
7秒前
7秒前
蓝海发布了新的文献求助10
8秒前
柠溪完成签到 ,获得积分10
8秒前
爱笑的酸奶完成签到,获得积分10
8秒前
科研通AI6.1应助holly采纳,获得50
8秒前
8秒前
8秒前
科目三应助BE采纳,获得10
9秒前
白猫发布了新的文献求助20
9秒前
早睡早起完成签到,获得积分10
10秒前
sochiyuen完成签到,获得积分10
10秒前
pluto应助辛勤搞科研采纳,获得10
10秒前
11秒前
英俊的铭应助郑振哲采纳,获得10
11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
Applied Min-Max Approach to Missile Guidance and Control 3000
Inorganic Chemistry Eighth Edition 1200
Free parameter models in liquid scintillation counting 1000
Standards for Molecular Testing for Red Cell, Platelet, and Neutrophil Antigens, 7th edition 1000
The Organic Chemistry of Biological Pathways Second Edition 800
The Psychological Quest for Meaning 800
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 6316697
求助须知:如何正确求助?哪些是违规求助? 8132714
关于积分的说明 17046824
捐赠科研通 5371964
什么是DOI,文献DOI怎么找? 2851736
邀请新用户注册赠送积分活动 1829630
关于科研通互助平台的介绍 1681423