Department of Chemistry, University of Shanghai for Science and Technology, Shanghai, P. R. China.
School of Chemical and Environmental Engineering, Shanghai Institute of Technology, Shanghai, P. R. China.
J Biomol Struct Dyn. 2024 May;42(8):4196-4213. doi: 10.1080/07391102.2023.2219331. Epub 2023 Jun 5.
HIV-1 reverse transcriptase is an important target for developing effective anti-HIV-1 inhibitors. Different types of small molecules have been designed based on this target, showing different levels of inhibitory activity against various types of HIV-1 strains. The relationship between structure and activity of DABO derivatives was investigated by means of 3D-QSAR molecular model, molecular docking, molecular dynamics and ADMET properties. The statistical results of molecular models show that the CoMFA and CoMSIA models have good internal stability (CoMFA: q = 0.623, r = 0.946; CoMSIA: q = 0.668, r = 0.983) and external prediction ability (CoMFA: r = 0.961; CoMSIA: r = 0.961). In addition, molecular docking has explored the mechanism of action between small molecules and receptor proteins, and the results show that hydrogen bonding between amino acid Lys101 and small molecules can improve the affinity of ligands to receptor binding. A total of 12 novel molecules were designed and their activities were predicted based on the 3D-QSAR model and molecular docking results. The results showed that the designed molecules had higher predictive activity. Subsequently, 100 ns MD simulation and binding free energy verified the stability of molecular docking results. Finally, the pharmacokinetic properties of the novel designed molecule were verified by using ADMET to predict its properties. These results can provide reference for the design and development of novel and effective HIV-1 RT inhibitors, and provide new ideas for the design of subsequent drugs.Communicated by Ramaswamy H. Sarma.
HIV-1 逆转录酶是开发有效抗 HIV-1 抑制剂的重要靶点。基于该靶点,设计了不同类型的小分子,对各种类型的 HIV-1 株显示出不同水平的抑制活性。通过 3D-QSAR 分子模型、分子对接、分子动力学和 ADMET 性质研究了 DABO 衍生物的结构与活性关系。分子模型的统计结果表明,CoMFA 和 CoMSIA 模型具有良好的内部稳定性(CoMFA:q = 0.623,r = 0.946;CoMSIA:q = 0.668,r = 0.983)和外部预测能力(CoMFA:r = 0.961;CoMSIA:r = 0.961)。此外,分子对接探讨了小分子与受体蛋白之间的作用机制,结果表明,氨基酸 Lys101 与小分子之间的氢键可以提高配体与受体结合的亲和力。基于 3D-QSAR 模型和分子对接结果,设计了 12 个新分子并预测了它们的活性。结果表明,设计的分子具有更高的预测活性。随后,通过 100 ns MD 模拟和结合自由能验证了分子对接结果的稳定性。最后,通过 ADMET 预测其性质验证了新设计分子的药代动力学性质。这些结果可为新型有效 HIV-1 RT 抑制剂的设计和开发提供参考,为后续药物的设计提供新的思路。Ramaswamy H. Sarma 通讯。