Teotia Vineeta, Jha Prakash, Chopra Madhu
Laboratory of Molecular Modeling and Anti-Cancer Drug Development, Dr. B. R. Ambedkar Center for Biomedical Research, University of Delhi, Delhi 110007, India.
ACS Omega. 2024 Sep 13;9(38):39873-39892. doi: 10.1021/acsomega.4c05414. eCollection 2024 Sep 24.
The ability of CDK1 to compensate for the absence of other cell cycle CDKs poses a great challenge to treat cancers that overexpress these proteins. Despite several studies focusing on the area, there are no FDA-approved drugs selectively targeting CDK1. Here, the study aimed to develop potential CDK1 selective inhibitors through drug repurposing and leveraging the structural insights provided by the hit molecules generated. Approximately 280,000 compounds from DrugBank, Selleckchem, Otava and an in-house library were screened initially based on fit values using 3D QSAR pharmacophores built for CDK1 and subsequently through Lipinski, ADMET, and TOPKAT filters. 10,310 hits were investigated for docking into the binding site of CDK1 determined using the crystal structure of human CDK1 in complex with NU6102. The best 55 hits with better docking scores were further analyzed, and 12 hits were selected for 100 ns MD simulations followed by binding energy calculations using the MM-PBSA method. Finally, 10 hit molecules were tested in an CDK1 Kinase inhibition assay. Out of these, 3 hits showed significant CDK1 inhibitory potential with IC < 5 μM. These results indicate these compounds can be used to develop subtype-selective CDK1 inhibitors with better efficacy and reduced toxicities in the future.
细胞周期蛋白依赖性激酶1(CDK1)补偿其他细胞周期蛋白依赖性激酶缺失的能力对治疗过度表达这些蛋白的癌症构成了巨大挑战。尽管有几项研究聚焦于该领域,但尚无美国食品药品监督管理局(FDA)批准的选择性靶向CDK1的药物。在此,该研究旨在通过药物重新利用并利用所产生的活性分子提供的结构见解来开发潜在的CDK1选择性抑制剂。最初,基于为CDK1构建的3D QSAR药效团的拟合值,对来自DrugBank、Selleckchem、Otava以及一个内部文库的约280,000种化合物进行了筛选,随后通过Lipinski、ADMET和TOPKAT过滤器进行筛选。对10,310个活性分子进行了对接研究,以确定其与人CDK1与NU6102复合物的晶体结构所确定的CDK1结合位点的对接情况。对具有更好对接分数的最佳55个活性分子进行了进一步分析,并选择了12个活性分子进行100纳秒的分子动力学(MD)模拟,随后使用MM-PBSA方法进行结合能计算。最后,在CDK1激酶抑制试验中对10个活性分子进行了测试。其中,有3个活性分子表现出显著的CDK1抑制潜力,其半数抑制浓度(IC)<5μM。这些结果表明,这些化合物未来可用于开发具有更好疗效和更低毒性的亚型选择性CDK1抑制剂。