College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology, Xi'an, 710021, China.
Shaanxi Key Laboratory of Chemical Additives for Industry, Xi'an, 710021, China.
Mol Divers. 2022 Apr;26(2):1017-1037. doi: 10.1007/s11030-021-10222-6. Epub 2021 May 11.
A series of mIDH1 inhibitors derived from 3-pyrimidine-4-oxazolidin-2-ketone derivatives were studied by QSAR model to explore the key factors that inhibit mIDH1 activity. The generated model was cross-verified and non-cross-verified by Topomer CoMFA and HQSAR methods; the independent test set was verified by PLS method; the Topomer search technology was used for virtual screening and molecular design; and the Surflex-Dock method and ADMET technology were used for molecular docking, pharmacology and toxicity prediction of the designed drug molecules. The Topomer CoMFA and HQSAR cross-validation coefficients q are 0.783 and 0.784, respectively, and the non-cross-validation coefficients r are 0.978 and 0.934, respectively. Ten new drug molecules have been designed using Topomer search technology. The results of molecular docking and ADMET show that the newly designed drug molecules are effective. The docking situation, pharmacology and toxicity prediction results are good. The model can be used to predict the bioactivity of the same type of new compounds and their derivatives. The prediction results of molecular design, molecular docking and ADMET can provide some ideas for the design and development of novel mIDH1 inhibitor anticancer drugs, and provide certain theoretical basis of the experimental verification of new compounds in the future. Newly designed molecules after docking with corresponding proteins in the PDB library, it can explore the targets of drug molecules acting with large proteins and the related force, which is very helpful for the design of new drugs and the mechanism of drug action.
研究了一系列源自 3-嘧啶-4-噁唑烷-2-酮衍生物的 mIDH1 抑制剂,通过 QSAR 模型探索抑制 mIDH1 活性的关键因素。该模型通过 Topomer CoMFA 和 HQSAR 方法进行交叉验证和非交叉验证;通过 PLS 方法验证独立测试集;使用 Topomer 搜索技术进行虚拟筛选和分子设计;使用 Surflex-Dock 方法和 ADMET 技术进行设计药物分子的分子对接、药理学和毒性预测。Topomer CoMFA 和 HQSAR 的交叉验证系数 q 分别为 0.783 和 0.784,非交叉验证系数 r 分别为 0.978 和 0.934。使用 Topomer 搜索技术设计了十个新的药物分子。分子对接和 ADMET 的结果表明,新设计的药物分子有效。对接情况、药理学和毒性预测结果良好。该模型可用于预测同类型新化合物及其衍生物的生物活性。分子设计、分子对接和 ADMET 的预测结果可为新型 mIDH1 抑制剂抗癌药物的设计和开发提供一些思路,并为未来新化合物的实验验证提供一定的理论依据。与 PDB 库中相应蛋白质对接后的新设计分子,可以探索药物分子与大蛋白相互作用的靶点及相关力,这对新药设计和药物作用机制非常有帮助。