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
刚刚
yili完成签到,获得积分10
1秒前
时老完成签到 ,获得积分10
1秒前
大模型应助门前大桥下采纳,获得30
1秒前
英姑应助无私的鸣凤采纳,获得50
1秒前
斯文败类应助SHC采纳,获得10
1秒前
HWY完成签到,获得积分10
2秒前
多吃香菜完成签到,获得积分10
3秒前
自觉飞莲发布了新的文献求助10
3秒前
3秒前
晚晚发布了新的文献求助10
4秒前
5秒前
5秒前
称心的猪发布了新的文献求助30
5秒前
红桃小六完成签到,获得积分10
5秒前
深情安青应助殷勤的可兰采纳,获得10
5秒前
yang完成签到,获得积分10
5秒前
Ava应助科研通管家采纳,获得10
6秒前
深情安青应助科研通管家采纳,获得10
6秒前
思源应助科研通管家采纳,获得10
6秒前
8R60d8应助科研通管家采纳,获得10
6秒前
田様应助科研通管家采纳,获得10
6秒前
大个应助科研通管家采纳,获得10
6秒前
6秒前
Owen应助科研通管家采纳,获得10
6秒前
小蘑菇应助科研通管家采纳,获得10
6秒前
充电宝应助科研通管家采纳,获得10
6秒前
NexusExplorer应助科研通管家采纳,获得10
6秒前
核桃应助科研通管家采纳,获得30
6秒前
6秒前
Owen应助科研通管家采纳,获得10
7秒前
7秒前
7秒前
核桃应助科研通管家采纳,获得30
7秒前
斯文败类应助科研通管家采纳,获得10
7秒前
Ava应助科研通管家采纳,获得10
7秒前
7秒前
小马甲应助科研通管家采纳,获得10
7秒前
Simon应助科研通管家采纳,获得20
7秒前
moon应助科研通管家采纳,获得10
7秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Burger's Medicinal Chemistry and Drug Discovery 400
A Step-by-Step Guide to Qualitative Data Coding 2nd Edition 400
Impact of Storage Orientation and Duration on Prefilled Syringe Performance: Break-Loose and Glide Forces, and Injection Time Across Multiple Time Points 360
Programming for Chemical Engineers Using C, C++, and MATLAB 300
Upland Kenya wild flowers and ferns: a flora of the flowers, ferns, grasses, and sedges of highland Kenya 300
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 6667929
求助须知:如何正确求助?哪些是违规求助? 8417153
关于积分的说明 17993246
捐赠科研通 5875823
什么是DOI,文献DOI怎么找? 2976660
邀请新用户注册赠送积分活动 1952596
关于科研通互助平台的介绍 1880329