GABA受体抑制剂的柔性原子受体模型研究

利用Flarm软件为GABA受体抑制剂建立了其抑制家蝇和大鼠GABA受体的柔性原子受体模型， 很好地模拟了两种受体与药物分子结合的情况，具有较好的预测能力，预测集的预测值与实验值的相关系数（r2）分别达到0.923和0.733，模型的结果与药效团模型有很大的一致性，为揭示药物与两种受体作用的区别提供了依据.

Research on Pseudoreceptor Models for the Inhibitors at GABA Receptors via Flexible Atom Receptor Model

A selective pseudoreceptor models for the inhibitors at GABA receptors of fly and rat were built via Flarm program. The pseudoreceptor models simulated the receptors very well and had good predicting ability. The q2 values of the training sets were 0.874 and 0.897, and the r2 values of the predict sets were 0.962 and 0.733. The Flarm models predicted that there are five binding sites when the compounds bind with GABA receptors, but there might be some different favoritism between the GABA receptors of fly and rat. The results were in accor-dance with pharmacorphore models built in previous research, and all the results gave insight to find the rela-tions and differences between the inhibitors acting on the GABA receptor of fly and rat.