苯并咪唑核抗感染药物的设计与Qsar研究

Sakharam Sirvi, D. Joshi, Raghvendra Singh Bhadauria
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引用次数: 0

摘要

本研究的目的是利用计算机辅助药物设计技术来设计、合成苯并咪唑衍生物,并对其抗疟疾活性进行评价,同时开发新的药理活性化合物。然而,利用这些药物作为模板来设计具有更好性能的新衍生物还需要一种有前途的方法。因此,该项目的目的是研究这种先导化合物在未来抗疟药物中的潜力。为了实现这一目标,制备了一系列苯并咪唑的合成衍生物,并对其抗疟活性进行了生物学评价。利用chem draw ultra version 8.0.3绘制所有设计化合物的二维结构,并导出到chem 3D ultra version 8.0.3窗口,通过MOPAC将所有三维结构的能量最小化至RMS梯度为0.001,并保存在MDL Mol文件(.Mol)格式中。]. 为了检验QSAR模型的预测能力,我们将数据集分为由32个分子组成的训练集和由8个化合物组成的测试集,利用多样性方法,增加了数据集中的结构多样性和广泛的生物活性。将IC50值转换为pIC50,以便给出数值较大的数据值。
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Design and Qsar Studies of Benzimidazole Nucleus As Anti-Infective Agents
  The objective of current study is to design, synthesize the benzimidazoles derivative and evaluate it for anti-malarialactivity by the recently developed Computer Aided Drug Designing techniques with development of new pharmacological active compounds However, a promising approach is needed to use these agents as templates for designing new derivatives with improved properties. The Aim of this project was thus to investigate the potential of the lead compound for future antimalrial drugs. . In order to accomplish this aim a range of synthetic derivatives of Benzimidazoles were prepared and biologically evaluated for Antimalarial activity. 2D Structure of all the designed compounds were draw with the help of chem Draw ultra-version 8.0.3 and exported to window of Chem 3D ultra version 8.0.3 Energy of all the 3D structures were minimized through MOPAC up to RMS gradient 0.001 and saved in MDL Mol file (.Mol) format. )]. In order to examine the predictive power of the QSAR models, the dataset was divided into training set consisting of 32 molecules and test set consisting of 8 compounds in such a way that the utilizing the diversity method in such a way that the structural diversity and a wide range of biological activity in the data set were added. The IC50 values were transformed to pIC50 in order to give numerically larger data values.
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