Koba Marcin, Bączek Tomasz
Med Chem Res. 2011 Nov;20(8):1385-1393. doi: 10.1007/s00044-010-9487-y. Epub 2010 Nov 17.
The acridinone derivatives with antitumor activity and ability with respect to noncovalent DNA binding were investigated for their quantitative structure-activity relationships (QSAR). Multiple regression analysis was used to model relationships between molecular descriptors and antileukemia activity, or between molecular descriptors and DNA-duplexes stabilization. Studies were performed on molecular modeling using HyperChem and Dragon computer programs, and molecular geometry optimization using MM+ molecular mechanics and semi-empirical AM1 method. Two multiple regression equations were derived and characterized as good and with statistically significant correlations, R = 0.9384 and R = 0.8388, for quantitative structure-antitumor activity relationships and quantitative structure-ability to DNA-duplexes stabilization relationships, respectively. Moreover, hydrophobic and total molecular symmetry properties are important for antitumor activity of acridinone derivatives, and electronic and topological properties are important for physicochemical (noncovalent) DNA-duplexes stabilization of these compounds. The obtained equations can be used for prediction of acridinone derivatives' activity and their ability to noncovalent interaction with DNA which, as it was shown earlier, play important role in the antitumor mechanism of action of these compounds.
对具有抗肿瘤活性和非共价结合DNA能力的吖啶酮衍生物进行了定量构效关系(QSAR)研究。采用多元回归分析来建立分子描述符与抗白血病活性之间的关系,或分子描述符与DNA双链体稳定性之间的关系。使用HyperChem和Dragon计算机程序进行分子建模研究,并使用MM +分子力学和半经验AM1方法进行分子几何结构优化。推导了两个多元回归方程,分别用于定量构效关系和定量结构与DNA双链体稳定关系,其相关性良好且具有统计学意义,R分别为0.9384和0.8388。此外,疏水性和总分子对称性对吖啶酮衍生物的抗肿瘤活性很重要,而电子和拓扑性质对这些化合物的物理化学(非共价)DNA双链体稳定作用很重要。所得到的方程可用于预测吖啶酮衍生物的活性及其与DNA非共价相互作用的能力,如前所示,这在这些化合物的抗肿瘤作用机制中起着重要作用。