Rathod Sanket, Shinde Ketaki, Porlekar Jaykedar, Choudhari Prafulla, Dhavale Rakesh, Mahuli Deepak, Tamboli Yasinalli, Bhatia Manish, Haval Kishan P, Al-Sehemi Abdullah G, Pannipara Mehboobali
Department of Pharmaceutical Chemistry, Bharati Vidyapeeth College of Pharmacy, Kolhapur 416 013, Maharashtra, India.
Department of Quality Assurance Techniques, Poona College of Pharmacy, Bharati Vidyapeeth Deemed University, Pune 411 038, Maharashtra, India.
ACS Omega. 2022 Dec 21;8(1):391-409. doi: 10.1021/acsomega.2c04837. eCollection 2023 Jan 10.
Over the centuries, cancer has been considered one of the significant health threats. It holds the position in the list of deadliest diseases over the globe. In women, breast cancer is the most common among many cancers and is the second most common cancer all over the world, while lung cancer is the first. Cyclin-dependent kinase 8 (CDK8) has been identified as a critical oncogenic driver that is found in breast cancer and associated with tumor progression. Flavonoids were virtually screened against CDK8 using molecular docking, drug-likeness, ADMET prediction, and a molecular dynamics (MD) simulation approach to determine the potential flavonoid structure against CDK8. The results indicated that ZINC000005854718 showed the highest negative binding affinity of -10.7 kcal/mol with the targeted protein and passed all the drug-likeness parameters. Performed molecular dynamics simulation showed that docked complex systems have good conformational stability over 100 ns in different temperatures (298, 300, 305, 310, and 320 K). The comparison between calculated binding free energy MM/PB(GB)SA methods and binding affinity calculated molecular docking suggested tight binding of ZINC000005854718 with targeted protein. The results concluded that ZINC000005854718 has drug-like properties with tight and stable binding with the targeted protein.
几个世纪以来,癌症一直被视为重大的健康威胁之一。它在全球最致命疾病名单中名列前茅。在女性中,乳腺癌是众多癌症中最常见的,是全球第二常见的癌症,而肺癌是第一常见的。细胞周期蛋白依赖性激酶8(CDK8)已被确定为一种关键的致癌驱动因子,在乳腺癌中被发现并与肿瘤进展相关。使用分子对接、类药性、ADMET预测和分子动力学(MD)模拟方法对黄酮类化合物进行虚拟筛选,以确定针对CDK8的潜在黄酮类化合物结构。结果表明,ZINC000005854718与目标蛋白的负结合亲和力最高,为-10.7 kcal/mol,并通过了所有类药性参数。进行的分子动力学模拟表明,对接的复合系统在不同温度(298、300、305、310和320 K)下100 ns以上具有良好的构象稳定性。计算结合自由能的MM/PB(GB)SA方法与分子对接计算的结合亲和力之间的比较表明,ZINC000005854718与目标蛋白紧密结合。结果得出结论,ZINC000005854718具有类药性质,与目标蛋白紧密且稳定结合。