School of Science, TianJin ChengJian University, Tianjin, China.
School of Science, TianJin ChengJian University, Tianjin, China.
J Mol Graph Model. 2020 Nov;100:107663. doi: 10.1016/j.jmgm.2020.107663. Epub 2020 Jul 8.
A series of novel antifolates (32 compounds) were used to study the interactions with folate receptors α and β. The compounds had different sizes of methyl (-CH), carboxyl (-COOH), hydroxyl (-OH), and amino groups (-NH). The binding properties of the complexes were studied by molecular docking, molecular dynamic (MD) simulations, and MM/PBSA free energy calculations. The docked binding energies and modes were analyzed to identify compounds with good recognition of FRα from FRβ. The stable conformers, root mean square displacement, root mean square fluctuation free binding energy, and contribution of residues to the binding energy of the complexes were further analyzed to illustrate the interactions between the novel compounds and folate receptors. The data show that introducing long functional groups in folate will increase the binding affinity with FRα but will decrease the binding affinity with FRβ. The results provide a strategy for the design of novel antifolates targeted to FRα.
一系列新型抗叶酸(32 种化合物)被用于研究与叶酸受体α和β的相互作用。这些化合物具有不同大小的甲基(-CH)、羧基(-COOH)、羟基(-OH)和氨基(-NH)。通过分子对接、分子动力学(MD)模拟和 MM/PBSA 自由能计算研究了配合物的结合特性。分析对接的结合能和模式,以确定对 FRα具有良好识别能力的化合物,对 FRβ的识别能力较低。进一步分析稳定构象、均方根位移、均方根波动自由结合能以及残基对配合物结合能的贡献,以说明新型化合物与叶酸受体之间的相互作用。数据表明,在叶酸中引入长官能团会增加与 FRα的结合亲和力,但会降低与 FRβ的结合亲和力。该结果为设计靶向 FRα的新型抗叶酸提供了一种策略。