In silico drug design: development of new pyrimidine-based benzo-thiazole derivatives, selective for CDK2

生物信息学 自动停靠 数量结构-活动关系 化学 对接(动物) 计算生物学 分子模型 嘧啶 激酶 立体化学 噻唑 小分子 组合化学 生物化学 生物 医学 护理部 基因
作者
Rania Kasmi,Larbi Elmchichi,Abdellah El Aissouq,Mohammed Bouachrine,Abdelkrim Ouammou
出处
期刊:Letters in Drug Design & Discovery [Bentham Science Publishers]
卷期号:18 (10): 961-975 被引量:2
标识
DOI:10.2174/1570180818666210421134819
摘要

Backgroud: Kinases are proteins that control many biological functions. They are involved in cellular regulation, and many of them are deregulated in cancer proliferation. The evidence of this deregulation in many pathologies served as the origin of kinases as a therapeutic class and constitutes the motive that leads numerous teams to search for inhibitors of these targets. Objective: Based on 3D-QSAR studies and the molecular docking approach, we have developed new potential inhibitors that could be optimized and transformed into colon cancer drugs. Methods: To design new bioactive molecules and study their interactions with the cyclin-dependent kinase type 2 (CDK2) enzyme, we used two virtual screening methods: 3D-QSAR modeling and molecular docking on a series of 28 pyrimidine-based benzothiazole derivatives. Results: To develop the model (3D QSAR), we used CoMFA and CoMSIA techniques using SYBYLX2.0 molecular modeling software. The statistical parameters reveal that the good CoMFA model displays Q² = 0.587 and R²= 0.895 and CoMSIA displays Q² = 0.552 and R² = 0.768), which are considered to be very good internal prediction values, while an external validation of a test series of 5 compounds not included in the model development series gives R² test values of 0.56 for CoMFA and R² t est values of 0.51 for CoMSIA. The molecular docking approach with AutoDock Tools-1.5.6 is introduced in this work to enrich the interpretations extracted from the CoMFA and CoMSIA contour maps and to provide an in silico research method for the most favorable mode of interaction of an inhibitor within its receptor (CDK2). Conclusion: We have constructed and validated a quantitative 3D model of structure-activity relationships of pyrimidine-based benzothiazole derivatives as CDK2 inhibitors. This model allows us to identify the nature and position of the groups that enhance the activity, giving us directions to discover new, more powerful molecules in a limited time.

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
六六发布了新的文献求助10
1秒前
1秒前
orixero应助宋十一采纳,获得10
1秒前
2秒前
3秒前
3秒前
量子星尘发布了新的文献求助10
4秒前
微瑕发布了新的文献求助10
5秒前
5秒前
科研通AI2S应助隋阳采纳,获得10
5秒前
Dr_Zhan完成签到 ,获得积分10
5秒前
包子发布了新的文献求助10
5秒前
科研通AI6.2应助两只羊采纳,获得10
5秒前
vanHaren完成签到,获得积分10
6秒前
LLL发布了新的文献求助10
6秒前
海贼学术发布了新的文献求助10
6秒前
6秒前
温暖寻雪发布了新的文献求助10
7秒前
清脆的夜云完成签到,获得积分10
7秒前
shine完成签到,获得积分10
7秒前
cc66完成签到 ,获得积分20
7秒前
7秒前
8秒前
bxw发布了新的文献求助10
9秒前
9秒前
小圆钱来完成签到,获得积分10
9秒前
9秒前
10秒前
余欢发布了新的文献求助10
11秒前
12秒前
12秒前
cc66发布了新的文献求助10
12秒前
海贼学术完成签到,获得积分10
14秒前
Orange应助dd采纳,获得10
14秒前
14秒前
宋十一发布了新的文献求助10
15秒前
英姑应助无可匹敌的饭量采纳,获得10
16秒前
LLL发布了新的文献求助10
16秒前
欣喜沛芹发布了新的文献求助10
16秒前
yyj完成签到,获得积分10
17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
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Modified letrozole versus GnRH antagonist protocols in ovarian aging women for IVF: An Open-Label, Multicenter, Randomized Controlled Trial 360
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 6063451
求助须知:如何正确求助?哪些是违规求助? 7895987
关于积分的说明 16314955
捐赠科研通 5206774
什么是DOI,文献DOI怎么找? 2785485
邀请新用户注册赠送积分活动 1768176
关于科研通互助平台的介绍 1647508