Felton James S, Knize Mark G, Wu Rebekah W, Colvin Michael E, Hatch Frederick T, Malfatti Michael A
Chemistry, Materials and Life Sciences Directorate, Lawrence Livermore National Laboratory, 7000 East Avenue, Livermore, CA 94551, USA.
Mutat Res. 2007 Mar 1;616(1-2):90-4. doi: 10.1016/j.mrfmmm.2006.11.010. Epub 2006 Dec 11.
The understanding of mutagenic potency has been primarily approached using "quantitative structure-activity relationships" (QSAR). Often this method allows the prediction of mutagenic potency of the compound based on its structure. But it does not give the underlying reason why the mutagenic activities differ. We have taken a set of heterocyclic amine structures and used molecular dynamic calculations to dock these molecules into the active site of a computational model of the cytochrome P4501A2 enzyme. The calculated binding strength using Boltzman distribution constants was then compared to the QSAR value (HF/6-31G* optimized structures) and the Ames/Salmonella mutagenic potency. Further understanding will only come from knowing the complete set of mutagenic determinants. These include the nitrenium ion half-life, DNA adduct half-life, efficiency of repair of the adduct, and ultimately fixation of the mutation through cellular processes. For two isomers, PhIP and 3-Me-PhIP, we showed that for the 100-fold difference in the mutagenic potency a 5-fold difference can be accounted for by differences in the P450 oxidation. The other factor of 20 is not clearly understood but is downstream from the oxidation step. The application of QSAR (chemical characteristics) to biological principles related to mutagenesis is explored in this report.
对诱变性强度的理解主要通过“定量构效关系”(QSAR)来实现。通常,这种方法可以根据化合物的结构预测其诱变性强度。但它并没有给出诱变性活性存在差异的根本原因。我们选取了一组杂环胺结构,并使用分子动力学计算将这些分子对接至细胞色素P4501A2酶计算模型的活性位点。然后,使用玻尔兹曼分布常数计算得到的结合强度与QSAR值(HF/6 - 31G*优化结构)以及埃姆斯/沙门氏菌诱变性强度进行比较。只有了解完整的诱变决定因素集,才能有更深入的理解。这些因素包括氮宾离子半衰期、DNA加合物半衰期、加合物修复效率,以及最终通过细胞过程实现的突变固定。对于两种异构体,即PhIP和3 - Me - PhIP,我们发现,在诱变性强度相差100倍的情况下,其中5倍的差异可由P450氧化的差异来解释。另外20倍的差异尚不清楚,但位于氧化步骤的下游。本报告探讨了QSAR(化学特性)在与诱变相关的生物学原理中的应用。