Research Center for Intelligent Information Technology, Nantong University, Nantong, China; School of Information Science and Technology, Nantong University, Nantong, China; Nantong Research Institute for Advanced Communication Technologies, Nantong, China.
Research Center for Intelligent Information Technology, Nantong University, Nantong, China; School of Information Science and Technology, Nantong University, Nantong, China; Nantong Research Institute for Advanced Communication Technologies, Nantong, China.
Comput Biol Chem. 2024 Jun;110:108035. doi: 10.1016/j.compbiolchem.2024.108035. Epub 2024 Feb 25.
Latest studies confirmed that abnormal function of histone deacetylase (HDAC) plays a pivotal role in formation of tumors and is a potential therapeutic target for treating breast cancer. In this research, in-silico drug discovery approaches via quantitative structure activity relationship (QSAR) and molecular docking simulations were adapted to 43 compounds of indazole derivatives with HDAC inhibition for anticancer activity against breast cancer. The QSAR models were built from multiple linear regression (MLR), and models predictability was cross-validated by leave-one-out (LOO) method. Based on these results, compounds C32, C26 and C31 from model 3 showed superior inhibitory activity with pIC of 9.30103, 9.1549 and 9.1549. We designed 10 novel compounds with molecular docking scores ranging from -7.9 to -9.3 kcal/mol. The molecular docking simulation results reveal that amino acid residues ILE1122 and PRO1123 play a significant role in bonding with 6CE6 protein. Furthermore, newly designed compounds P5, P2 and P7 with high docking scores of -9.3 kcal/mol, -8.9 kcal/mol and -8.8 kcal/mol than FDA-approved drug Raloxifene (-8.5 kcal/mol) and aid in establishment of potential drug candidate for HDAC inhibitors. The in-silico ADME functionality is used in the final phase to evaluate newly designed inhibitors as potential drug candidates. The results suggest that newly designed compounds P5, P2 and P7 can be used as a potential anti-breast cancer drug candidate.
最新研究证实,组蛋白去乙酰化酶(HDAC)的异常功能在肿瘤的形成中起着关键作用,是治疗乳腺癌的潜在治疗靶点。在这项研究中,通过定量构效关系(QSAR)和分子对接模拟的计算药物发现方法,对具有 HDAC 抑制作用的 43 种吲唑衍生物化合物进行了研究,以评估其对乳腺癌的抗癌活性。QSAR 模型是由多元线性回归(MLR)构建的,通过留一法(LOO)验证模型的可预测性。基于这些结果,模型 3 中的化合物 C32、C26 和 C31 显示出优异的抑制活性,pIC 值分别为 9.30103、9.1549 和 9.1549。我们设计了 10 种新型化合物,其分子对接评分范围为-7.9 至-9.3 kcal/mol。分子对接模拟结果表明,ILE1122 和 PRO1123 氨基酸残基在与 6CE6 蛋白结合中起重要作用。此外,新设计的化合物 P5、P2 和 P7 的对接评分分别为-9.3 kcal/mol、-8.9 kcal/mol 和-8.8 kcal/mol,高于 FDA 批准的药物雷洛昔芬(-8.5 kcal/mol),有助于建立潜在的 HDAC 抑制剂候选药物。在最后阶段,使用计算 ADME 功能来评估新设计的抑制剂作为潜在的药物候选物。结果表明,新设计的化合物 P5、P2 和 P7 可用作潜在的抗乳腺癌药物候选物。