Singh Ipsa A, Lokhande Kiran Bharat, Swamy K Venkateswara
Bioinformatics Research Laboratory, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune, India.
Present Address: Translational Bioinformatics and Computational Genomics Research Lab, Department of Life Sciences, Shiv Nadar Institution of Eminence, Gautam Buddha Nagar, Greater Noida, UP India.
In Silico Pharmacol. 2024 Apr 7;12(1):26. doi: 10.1007/s40203-024-00200-9. eCollection 2024.
Aurora Kinase B belongs to the serine kinase family. It plays an essential role in cell division and participates in mitosis and chromatid segregation. Overexpression, polymorphism, and splicing variants in the protein lead to tumorigenesis, leading to cancer. Flavones belong to the class of flavonoids and are derived from plants and show anti-cancer activities. Fluoro flavones and their analogs are taken from the PubChem database, resulting in 3882 compounds which is 90% similar to the fluoro flavones. Lipinski's rule of five, REOS and PAINS drug-like filters were applied which resulted 2448 compounds. These compounds are docked with Aurora Kinase B using SP and XP modules of Glide software. The best binding scores for SP docking were - 9.153 kcal/mol for the compound with CID: 44298667, and XP docking was - 10.287 kcal/mol with CID: 101664315. Enrichment calculations were done using Aurora Kinase B's decoys to validate the docking result. The resulting R = 0.96 from enrichment calculations suggests that the docking protocol is valid. The SP and XP docking lead compounds and the Fluoro flavone were subjected to 100 ns MD simulation to probe the protein-ligand complex stability. Also, the binding free energies between the Aurora kinase B and lead compounds were computed by Prime MM/GBSA module. The result suggests that the lead compounds bind more strongly with Aurora Kinase B than the Fluoro flavone. These lead compounds can be further evaluated in vitro and in vivo and can be used as future novel drugs for the curation of cancer.
极光激酶B属于丝氨酸激酶家族。它在细胞分裂中起着至关重要的作用,参与有丝分裂和染色单体分离。该蛋白的过表达、多态性和剪接变体导致肿瘤发生,进而引发癌症。黄酮类化合物属于黄酮类,来源于植物,具有抗癌活性。氟黄酮及其类似物取自PubChem数据库,得到3882种与氟黄酮相似度达90%的化合物。应用了Lipinski的五规则、REOS和PAINS类药筛选器,得到2448种化合物。使用Glide软件的SP和XP模块将这些化合物与极光激酶B进行对接。对于CID为44298667的化合物,SP对接的最佳结合分数为-9.153千卡/摩尔,而对于CID为101664315的化合物,XP对接的最佳结合分数为-10.287千卡/摩尔。使用极光激酶B的诱饵进行富集计算以验证对接结果。富集计算得到的R = 0.96表明对接方案是有效的。对SP和XP对接的先导化合物以及氟黄酮进行了100纳秒的分子动力学模拟,以探究蛋白质-配体复合物的稳定性。此外,通过Prime MM/GBSA模块计算了极光激酶B与先导化合物之间的结合自由能。结果表明,先导化合物与极光激酶B的结合比氟黄酮更强。这些先导化合物可以在体外和体内进一步评估,并可作为未来治疗癌症的新型药物。