Structural Research Group, Medicinal Chemistry Department, and Toxicology Department, Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, Connecticut 06877, USA.
J Chem Inf Model. 2010 Feb 22;50(2):274-97. doi: 10.1021/ci900378x.
In this paper, we describe an in silico first principal approach to predict the mutagenic potential of primary aromatic amines. This approach is based on the so-called "nitrenium hypothesis", which was developed by Ford et al. in the early 1990s. This hypothesis asserts that the mutagenic effect for this class of molecules is mediated through the transient formation of a nitrenium ion and that the stability of this cation is correlated with the mutagenic potential. Here we use quantum mechanical calculations at different levels of theory (semiempirical AM1, ab initio HF/3-21G, HF/6-311G(d,p), and DFT/B3LYP/6-311G(d,p)) to compute the stability of nitrenium ions. When applied to a test set of 257 primary aromatic amines, we show that this method can correctly differentiate between Ames active and inactive compounds, and furthermore that it is able to rationalize and predict SAR trends within structurally related chemical series. For this test set, the AM1 nitrenium stability calculations are found to provide a good balance between speed and accuracy, resulting in an overall accuracy of 85%, and sensitivity and specificity of 91% and 72%, respectively. The nitrenium-based predictions are also compared to the commercial software packages DEREK, MULTICASE, and the MOE-Toxicophore descriptor. One advantage of the approach presented here is that the calculation of relative stabilities results in a continuous spectrum of activities and not a simple yes/no answer. This allows us to observe and rationalize subtle trends due to the different electrostatic properties of the organic molecules. Our results strongly indicate that nitrenium ion stability calculations should be used as a complementary approach to assist the medicinal chemist in prioritizing and selecting nonmutagenic primary aromatic amines during preclinical drug discovery programs.
在本文中,我们描述了一种基于理论计算的预测芳香伯胺类化合物致突变性的方法。该方法基于所谓的“亚硝鎓离子假说”,该假说由 Ford 等人在 20 世纪 90 年代初提出。该假说认为,此类分子的致突变作用是通过亚硝鎓离子的瞬时形成介导的,并且该阳离子的稳定性与致突变潜能相关。在这里,我们使用不同理论水平(半经验 AM1、从头 HF/3-21G、HF/6-311G(d,p)和 DFT/B3LYP/6-311G(d,p))的量子力学计算来计算亚硝鎓离子的稳定性。当应用于 257 种芳香伯胺的测试集时,我们表明该方法可以正确地区分 Ames 活性和非活性化合物,并且能够合理化和预测结构相关化学系列中的 SAR 趋势。对于该测试集,发现 AM1 亚硝鎓稳定性计算在速度和准确性之间取得了良好的平衡,导致整体准确性为 85%,灵敏度和特异性分别为 91%和 72%。基于亚硝鎓的预测还与商业软件包 DEREK、MULTICASE 和 MOE-Toxicophore 描述符进行了比较。这里提出的方法的一个优点是,相对稳定性的计算会导致活性的连续谱,而不是简单的是/否答案。这使我们能够观察和合理化由于有机分子的不同静电性质而导致的微妙趋势。我们的结果强烈表明,亚硝鎓离子稳定性计算应作为一种辅助方法,用于在临床前药物发现计划中协助药物化学家对非致突变性芳香伯胺进行优先级排序和选择。