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Artificial ribonucleases: Quantitative analysis of the structure-activity relationship and a new insight into the strategy of design of highly efficient RNase mimetics

机译:人工核糖核酸:结构与活性关系的定量分析以及对高效RNase模拟物设计策略的新见解

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The dependence of hydrolytic activity of artificial ribonucleases toward an HIV-I RNA fragment, a 21-mer oligonucleotide, and tRNAAsp on the structure of the RNase mimetic was analyzed. The quantitative structure-activity relationship (QSAR task) was determined by the method of simplex representation of the molecular structure where the amounts of four-atom fragments (simplexes) of fixed structure, symmetry, and chirality served as descriptors. Not only the types of atoms participating in simplexes, but also their physicochemical properties (e.g., partial charges, lipophilicities, etc.) were taken into account. This allowed the determination of the relative role of various factors affecting the interaction of molecules under study with the corresponding biological target. The 2D QSAR models obtained by the method of projection to latent structures have quite satisfactory statistical indices (R 2 = 0.82?0.96; Q 2 = 0.73?0.89), which help predict the activities of new compounds. The electrostatic properties of ribonuclease atoms were shown to contribute significantly to the manifestation of the hydrolytic activity of ribonucleases in the case of the 21-mer oligonucleotide and tRNA. In addition, the structural fragments that most greatly contribute to the alteration of the hydrolytic activity of RNases were identified. The models obtained were used for the virtual screening and molecular design of new highly efficient RNase mimetics.
机译:分析了人工核糖核酸酶对HIV-1 RNA片段,21-mer寡核苷酸和tRNAAsp的水解活性对RNase模拟物结构的依赖性。定量构效关系(QSAR任务)是通过分子结构的单纯表示法确定的,其中固定结构,对称性和手性的四个原子片段(单峰)的量为描述子。不仅考虑了参与单纯形的原子的类型,而且考虑了其物理化学性质(例如,部分电荷,亲脂性等)。这样就可以确定影响研究分子与相应生物学靶标相互作用的各种因素的相对作用。通过投影到潜在结构的方法获得的二维QSAR模型具有相当令人满意的统计指标(R 2 = 0.82?0.96; Q 2 = 0.73?0.89),有助于预测新化合物的活性。在21-mer寡核苷酸和tRNA的情况下,核糖核酸酶原子的静电特性显示出对核糖核酸酶水解活性表现的显着贡献。另外,鉴定出对RNA酶水解活性的改变最有贡献的结构片段。获得的模型用于新型高效RNase模拟物的虚拟筛选和分子设计。

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