Bispo Marcelle L F, Lima Camilo H S, Cardoso Laura N F, Candéa André L P, Bezerra Flávio A F M, Lourenço Maria C S, Henriques Maria G M O, Alencastro Ricardo B, Kaiser Carlos R, Souza Marcus V N, Albuquerque Magaly G
Departamento de Química, Universidade Estadual de Londrina (UEL), Londrina 86057-970, Brazil.
Programa de Pós-Graduação em Química (PGQu), Instituto de Química (IQ), Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21949-900, Brazil.
Pharmaceuticals (Basel). 2017 Jun 9;10(2):52. doi: 10.3390/ph10020052.
In an ongoing research program for the development of new anti-tuberculosis drugs, we synthesized three series (, , and ) of 7-chloro-4-aminoquinolines, which were evaluated in vitro against (MTB). Now, we report the anti-MTB and cytotoxicity evaluations of a new series, (-). Considering the active compounds of series (-), (-), (-), and (-), we compose a data set of 42 compounds and carried out hologram quantitative structure-activity relationship (HQSAR) analysis. The amino-imino tautomerism of the 4-aminoquinoline moiety was considered using both amino (I) and imino (II) forms as independent datasets. The best HQSAR model from each dataset was internally validated and both models showed significant statistical indexes. Tautomer I model: leave-one-out (LOO) cross-validated correlation coefficient (q²) = 0.80, squared correlation coefficient (r²) = 0.97, standard error (SE) = 0.12, cross-validated standard error (SE) = 0.32. Tautomer II model: q² = 0.77, r² = 0.98, SE = 0.10, SE = 0.35. Both models were externally validated by predicting the activity values of the corresponding test set, and the tautomer II model, which showed the best external prediction performance, was used to predict the biological activity responses of the compounds that were not evaluated in the anti-MTB trials due to poor solubility, pointing out for further solubility studies to attempt to determine its actual biological activity.
在一项正在进行的新型抗结核药物研发研究项目中,我们合成了三个系列(A、B和C)的7-氯-4-氨基喹啉,并对其进行了抗结核分枝杆菌(MTB)的体外评估。现在,我们报告一个新系列(D)的抗MTB活性和细胞毒性评估结果。考虑到D系列、C系列、B系列和A系列的活性化合物,我们构建了一个包含42种化合物的数据集,并进行了全息定量构效关系(HQSAR)分析。4-氨基喹啉部分的氨基-亚氨基互变异构现象通过将氨基(I)和亚氨基(II)形式作为独立数据集来考虑。每个数据集的最佳HQSAR模型进行了内部验证,两个模型均显示出显著的统计指标。互变异构体I模型:留一法(LOO)交叉验证相关系数(q²)= 0.80,平方相关系数(r²)= 0.97,标准误差(SE)= 0.12,交叉验证标准误差(SEcv)= 0.32。互变异构体II模型:q² = 0.77,r² = 0.98,SE = 0.10,SEcv = 0.35。两个模型均通过预测相应测试集的活性值进行了外部验证,互变异构体II模型显示出最佳的外部预测性能,该模型用于预测因溶解性差而未在抗MTB试验中评估的化合物的生物活性响应,指出化合物X需进一步进行溶解性研究以尝试确定其实际生物活性。