An In-silico Approach: Design, Homology Modeling, Molecular Docking, MM/GBSA Simulations, and ADMET Screening of Novel 1,3,4-oxadiazoles as PLK1inhibitors

蛋白质数据库 广告 对接(动物) 生物信息学 激酶 同源建模 蛋白质数据库 化学 虚拟筛选 计算生物学 生物化学 癌症研究 生物 蛋白质结构 药物发现 医学 护理部 基因 体外
作者
Sindhya Malkaje,Mahendra Gowdru Srinivasa,Shridhar Murthy H N,Suharsha Navada,Mahendra Gowdru Srinivas
出处
期刊:Current drug research reviews [Bentham Science]
卷期号:15 (1): 88-100
标识
DOI:10.2174/2589977514666220821203739
摘要

Breast cancer is the most commonly diagnosed and major cause of cancer-related deaths in women worldwide. Disruption of the normal regulation of cell cycle progression and proliferation are the major events leading to cancer. Human Polo-like Kinase 1 (PLK1) plays an important role in the regulation of cellular division. High PLK1 expression is observed in various types of cancer including breast cancer. 1,3,4-oxadiazoles are the fivemembered heterocycles, that serve as versatile lead molecules for designing novel anticancer agents and they mainly act by inhibiting various enzymes and kinases.A novel series of 1,3,4-oxadiazole derivatives (A1-A26) were designed and subjected to an in-silico analysis against PLK1 enzyme (PDB ID:1q4k), targeting breast cancer.The chemical structure of each compound (A1-26) was drawn using ChemDraw software. The 3D structure model of protein target (PDB ID:1q4k) was built using the SWISSMODEL server. Molecular docking simulation was performed to determine the designed compound's probable binding mode and affinity towards the protein target (PDB ID:1q4k). The designed compounds were subjected to ADME screening, as well as Prime MM/GBSA simulations using Schrodinger suite 2020-4. Furthermore, the safety profile of compounds was examined through the OSIRIS property explorer program and the results were compared with the standard drugs, 5-fluorouracil and cyclophosphamide.Based on the binding affinity scores, the compounds were found selective to target protein 1q4k through hydrogen bonding and hydrophobic interactions. The compounds A11, A12, and A13 were found to have higher G scores and binding free energy values. The ADME screening results were also found to be within the acceptable range. Moreover, the in-silico toxicity prediction assessments suggest that all designed compounds have a low risk of toxicity, and have higher efficiency for the target receptor.The study showed that the substitution of electron-donating groups at the various position of the aromatic ring, which is bonded at the second position of the substituted 1,3,4- oxadiazole nucleus resulted in compounds with good binding energy and G score compared to the standard drugs, and hence, they can be further developed as potent PLK1 enzyme inhibitors.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
布鲁斯盖完成签到,获得积分10
1秒前
2秒前
5秒前
李小心应助爱听歌的靖儿采纳,获得10
6秒前
大力便当发布了新的文献求助10
7秒前
8秒前
小武wwwww发布了新的文献求助10
8秒前
能HJY发布了新的文献求助10
8秒前
雷家发布了新的文献求助10
11秒前
11秒前
踏实戒指完成签到,获得积分10
12秒前
14秒前
16秒前
16秒前
大方的自行车完成签到,获得积分10
16秒前
小马想毕业完成签到,获得积分10
17秒前
17秒前
烟花应助小武wwwww采纳,获得10
18秒前
上官若男应助雷家采纳,获得10
18秒前
唐瑾瑜完成签到,获得积分10
18秒前
Iris关注了科研通微信公众号
19秒前
19秒前
20秒前
香蕉觅云应助杜林采纳,获得10
20秒前
qqq发布了新的文献求助10
21秒前
yoon发布了新的文献求助10
23秒前
24秒前
29秒前
在在完成签到 ,获得积分10
29秒前
joy发布了新的文献求助10
30秒前
11完成签到 ,获得积分10
31秒前
qqq完成签到,获得积分10
33秒前
douyq发布了新的文献求助10
35秒前
knn发布了新的文献求助30
35秒前
NexusExplorer应助大力便当采纳,获得10
37秒前
深情安青应助萝卜采纳,获得10
37秒前
开朗月饼发布了新的文献求助20
40秒前
花小生完成签到 ,获得积分10
41秒前
含章可贞完成签到 ,获得积分10
43秒前
文龙发布了新的文献求助200
45秒前
高分求助中
Kinetics of the Esterification Between 2-[(4-hydroxybutoxy)carbonyl] Benzoic Acid with 1,4-Butanediol: Tetrabutyl Orthotitanate as Catalyst 1000
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Very-high-order BVD Schemes Using β-variable THINC Method 568
Chen Hansheng: China’s Last Romantic Revolutionary 500
XAFS for Everyone 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3137814
求助须知:如何正确求助?哪些是违规求助? 2788675
关于积分的说明 7788104
捐赠科研通 2445088
什么是DOI,文献DOI怎么找? 1300139
科研通“疑难数据库(出版商)”最低求助积分说明 625828
版权声明 601043