The Key Laboratory of Major Autoimmune Diseases, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, The key laboratory of Anti-inflammatory and Immune Medicines, Ministry of Education, Hefei 230032, China.
The Key Laboratory of Major Autoimmune Diseases, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, The key laboratory of Anti-inflammatory and Immune Medicines, Ministry of Education, Hefei 230032, China.
Life Sci. 2020 Oct 1;258:118228. doi: 10.1016/j.lfs.2020.118228. Epub 2020 Aug 8.
Cyclin-dependent kinase 9 (CDK9) is a member of the CDK subfamily and plays a major role in the regulation of transcriptional elongation. It has attracted widespread attention as a therapeutic target for cancer. Here, we aimed to explore novel CDK 9 inhibitors by using a hybrid virtual screening strategy.
A hybrid virtual screening strategy was constructed with computer-aided drug design (CADD). First, compounds were filtered in accordance with Lipinski's rule of five and adsorption, distribution, metabolism, excretion, and toxicity (ADMET) properties. Second, a 3D-QSAR pharmacophore model was built and used as a 3D query to screen the obtained hit compounds. Third, the hit compounds were subjected to molecular docking studies. Fourth, molecular dynamics (MD) simulations were performed on CDK9 in complex with the final hits to examine the structural stability. Finally, CDK9 kinase biochemical assay was performed to identify the biological activity of the hit compounds.
Seven hit compounds were screened out. These hit compounds showed drug-like properties in accordance with Lipinski's rule of five and ADMET. Complexes involving the six hit compounds bound to CDK9 exhibited good structural stability in the MD simulation. Furthermore, these six hit compounds had strong inhibitory activity against CDK9 kinase. In particular, hit 3 showed the most promising activity with the percentage of 71%.
The six hit compounds may be promising novel CDK9 inhibitors, and the hybrid virtual screening strategy designed in this study provides an important reference for the design and synthesis of novel CDK9 inhibitors.
细胞周期蛋白依赖性激酶 9(CDK9)是 CDK 亚家族的成员,在转录延伸调控中发挥重要作用。它作为癌症治疗靶点引起了广泛关注。本研究旨在通过混合虚拟筛选策略探索新型 CDK9 抑制剂。
采用计算机辅助药物设计(CADD)构建混合虚拟筛选策略。首先,根据 Lipinski 五规则和吸附、分布、代谢、排泄和毒性(ADMET)性质对化合物进行过滤。其次,构建三维定量构效关系(3D-QSAR)药效团模型,并将其用作三维查询来筛选获得的命中化合物。然后,对命中化合物进行分子对接研究。第四,对 CDK9 与最终命中化合物的复合物进行分子动力学(MD)模拟,以检查结构稳定性。最后,进行 CDK9 激酶生化测定以鉴定命中化合物的生物活性。
筛选出 7 个命中化合物。这些命中化合物符合 Lipinski 五规则和 ADMET 的药物样性质。涉及 6 个命中化合物与 CDK9 结合的复合物在 MD 模拟中表现出良好的结构稳定性。此外,这 6 个命中化合物对 CDK9 激酶具有很强的抑制活性。特别是,命中化合物 3 表现出最有前途的活性,抑制率为 71%。
这 6 个命中化合物可能是有前途的新型 CDK9 抑制剂,本研究设计的混合虚拟筛选策略为新型 CDK9 抑制剂的设计和合成提供了重要参考。