谷歌浏览器插件
订阅小程序
在清言上使用

Synthesis, Biological Profile and Computational Insights of New Derivatives of Benzo [B][1,4] Diazepines As Prospective Anticancer Agents for Inhibiting the CDK-2 Protein.

Journal of biomolecular structure and dynamics/Journal of biomolecular structure & dynamics(2024)

引用 0|浏览8
暂无评分
摘要
In the current work, a new series of benzo[b][1, 4] diazepines (A-1 to C-4) was synthesized and screened against three different human cancer cell lines, HepG2 (hepatocellular carcinoma), HeLa (cervical cancer) and MCF-7 (breast cancer), by employing MTT (MTT 3-(4,5-Dimethylthiazol-2-yl)-2,5-Diphenyltetrazolium Bromide) assay. The outcomes of in vitro screening revealed that all the compounds exhibited momentous anticancer activity, most notably against the MCF-7 cell line by B1-4 compounds. Further, network pharmacology, UALCAN analysis, molecular docking, molecular dynamics (MD) simulations and density functional theory calculations were conducted to explore expression analysis, pharmacokinetics, toxicity profiles and binding interactions of the B1-4 compounds. By UALCAN, we explored the expression analysis of CDK-2 in 19 cancers. Through UALCAN, Pan-cancer analysis revealed that the expression of CDK-2 in 19 cancers was statistically significant. Among the 19 cancers, the CDK-2 expression was significantly upregulated in breast cancer (BRCA), cervical cancer (CESC) and lung carcinoma (LUSC) than normal tissues. Enzyme-docking examination revealed that B1-4 compounds exhibited significant binding affinity against the CDK-2 (PDB ID: 5IEV) drug target protein. Furthermore, MD simulations supported the docking results, which confirmed that the ligand + protein complex was in a stable conformation throughout the simulation time of 100 nanoseconds. Therefore, the present study demonstrates the potential of these benzo [b][1,4] diazepines as promising drug candidates against cancer. [GRAPHICS]
更多
查看译文
关键词
benzodiazepine,anticancer agent,molecular docking,MD simulation,ADMET screening,DFT analysis and anticancer activity
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要