LABiEMol, Departamento de Biologia Celular e Molecular, Instituto de Biologia, Outeiro de São João Baptista, Campus Valonguinho, Centro CEP 24210-130 Universidade Federal Fluminense (UFF), Niterói, RJ, Brazil.
Chem Biol Drug Des. 2013 Feb;81(2):185-97. doi: 10.1111/cbdd.12056. Epub 2012 Dec 17.
Recently, many efforts have been made to develop N-methyl-D-aspartic acid receptor antagonists for treating different pathological conditions such as thrombo-embolic stroke, traumatic head injury, Huntington's, Parkinson's, and Alzheimer's diseases). However, as side-effects limit the use of most antagonists, new drugs are still required. In this work, we performed a (quantitative) structure-activity relationship analysis of 17 phenyl-amidine derivatives (1a-1q), reported as N-methyl-D-aspartic acid receptor antagonists, and used this data to rationally design the triazolyl-amidines. The best (quantitative) structure-activity relationship model constructed by multiple linear regression analysis presented high data fitting (R = 0.914) was able to explain 83.6% of the biological data variance (R(2) = 0.836), presented a satisfactory internal predictive ability (Q(2) = 0.609) and contained the descriptors (E(HOMO), Ovality and cLogP). Our assays confirmed that glutamate promotes an extensive cell death in avian neurons (77%) and 2a and 2b protected the neurons from the glutamate effect (from 77% to 27% and 45%, respectively). The results of neurotoxicity and cytotoxicity on Vero cells suggested the favorable profile of 2a and 2b. Also, the molecular modeling used to predict the activity, the interaction with the receptor and the pharmacokinetic and toxicity of the triazolyl-amidines pointed them as a promising class for further exploration as N-methyl-D-aspartic acid receptor antagonists.
最近,人们做出了许多努力来开发 N-甲基-D-天冬氨酸受体拮抗剂,以治疗不同的病理情况,如血栓栓塞性中风、创伤性脑损伤、亨廷顿氏病、帕金森氏病和阿尔茨海默氏病。然而,由于副作用限制了大多数拮抗剂的使用,仍然需要新的药物。在这项工作中,我们对 17 个苯甲脒衍生物(1a-1q)进行了(定量)构效关系分析,这些衍生物被报道为 N-甲基-D-天冬氨酸受体拮抗剂,并利用这些数据合理设计了三唑基脒。通过多元线性回归分析构建的最佳(定量)构效关系模型具有较高的数据拟合度(R=0.914),能够解释 83.6%的生物学数据方差(R2=0.836),具有令人满意的内部预测能力(Q2=0.609),并包含描述符(E(HOMO)、椭圆率和 cLogP)。我们的测定证实谷氨酸能促进禽类神经元发生广泛的细胞死亡(77%),而 2a 和 2b 能保护神经元免受谷氨酸的影响(分别从 77%降至 27%和 45%)。在 Vero 细胞上的神经毒性和细胞毒性测定表明 2a 和 2b 具有良好的特性。此外,用于预测活性、与受体相互作用以及三唑基脒的药代动力学和毒性的分子建模表明它们是作为 N-甲基-D-天冬氨酸受体拮抗剂进一步探索的有前途的一类化合物。