Avram Speranţa, Milac Adina-Luminiţa, Mihailescu Dan
University of Bucharest, Faculty of Biology, Dept. of Anatomy, Animal Physiology and Biophysics, 91-95th Spl. Independentei, Bucharest-076201, Romania.
Mol Biosyst. 2012 Apr;8(5):1418-25. doi: 10.1039/c2mb00005a. Epub 2012 Feb 28.
Antidepressants and antipsychotics are psychiatric agents used for the treatment of various types of psychiatric diseases. Although currently among the most commonly prescribed drugs, their effectiveness and adverse effects are the topic of many studies and controversial claims. Here we generate QSAR models based on compounds series including 20 drugs recommended for two critical psychiatric diseases: depression and schizophrenia and we use these QSAR models to predict the biological activity of these 20 antidepressants and antipsychotics. We establish the membrane ions' contributions (sodium, potassium, calcium and iron) mediated by water to the antagonism of these drugs at the 5-HT1A receptor. The reliability of our QSAR models in predicting compounds activity is indicated by significant values for cross-validated correlation q² (0.60-0.76) and fitted correlation r² (0.96-0.98) coefficients. Our results indicate that potassium, calcium and iron play a key role for the antagonistic activity of drugs at the 5-HT1A receptor. Moreover, based on the established QSAR equations, we analysed 24 new escitalopram derivatives as possibly improved antidepressants targeting the 5-HT1A receptor. We identified that the presence of methyl groups and hydrogen atoms improves antidepressant activity while the simultaneous presence of ethyl, propyl or halogens decreased drastically antidepressant activity at the 5-HT1A site.
抗抑郁药和抗精神病药是用于治疗各类精神疾病的精神类药物。尽管目前它们是最常被处方的药物之一,但其有效性和副作用仍是众多研究及有争议说法的主题。在此,我们基于包含20种推荐用于两种关键精神疾病(抑郁症和精神分裂症)的药物的化合物系列生成了定量构效关系(QSAR)模型,并使用这些QSAR模型来预测这20种抗抑郁药和抗精神病药的生物活性。我们确定了由水介导的膜离子(钠、钾、钙和铁)对这些药物在5 - HT1A受体处拮抗作用的贡献。我们的QSAR模型在预测化合物活性方面的可靠性通过交叉验证相关系数q²(0.60 - 0.76)和拟合相关系数r²(0.96 - 0.98)的显著值得以体现。我们的结果表明,钾、钙和铁对药物在5 - HT1A受体处的拮抗活性起着关键作用。此外,基于所建立的QSAR方程,我们分析了24种新的艾司西酞普兰衍生物,它们可能是针对5 - HT1A受体的改良抗抑郁药。我们发现甲基和氢原子的存在会提高抗抑郁活性,而乙基、丙基或卤素的同时存在会在5 - HT1A位点显著降低抗抑郁活性。