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
我是老大应助果汁采纳,获得10
1秒前
乐空思应助缓慢的采纳,获得30
2秒前
3秒前
Komorebi发布了新的文献求助10
3秒前
难过夜白完成签到 ,获得积分10
4秒前
5秒前
5秒前
yuechat完成签到,获得积分10
6秒前
杨旺完成签到,获得积分10
7秒前
7秒前
深情安青应助缥缈傥采纳,获得10
9秒前
9秒前
你看远山含笑水流长完成签到,获得积分10
9秒前
柚子发布了新的文献求助10
10秒前
yiyi完成签到,获得积分10
11秒前
12秒前
FashionBoy应助HMZ采纳,获得10
12秒前
12秒前
zhang7jing完成签到,获得积分10
13秒前
fanlong关注了科研通微信公众号
13秒前
pppyrus应助激昂的航空采纳,获得10
13秒前
杨旺发布了新的文献求助10
14秒前
完美世界应助赵123采纳,获得10
14秒前
14秒前
15秒前
komorebi完成签到 ,获得积分10
16秒前
august完成签到,获得积分20
16秒前
zhuyt完成签到,获得积分10
17秒前
顺心雁开发布了新的文献求助30
17秒前
17秒前
19秒前
科研通AI6.2应助失眠凡英采纳,获得10
19秒前
20秒前
Lucas应助rourou采纳,获得10
20秒前
缥缈傥发布了新的文献求助10
21秒前
传奇3应助august采纳,获得10
21秒前
21秒前
专注鼠标发布了新的文献求助10
22秒前
Tsuki发布了新的文献求助10
23秒前
PEI发布了新的文献求助10
23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
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Signals, Systems, and Signal Processing 610
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 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6018209
求助须知:如何正确求助?哪些是违规求助? 7605268
关于积分的说明 16158305
捐赠科研通 5165718
什么是DOI,文献DOI怎么找? 2765013
邀请新用户注册赠送积分活动 1746543
关于科研通互助平台的介绍 1635302