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Identification of Electronic and Structural Descriptors of Adenosine Analogues Related to Inhibition of Leishmanial Glyceraldehyde-3-Phosphate Dehydrogenase

机译:鉴定与抑制利什曼肽甘油醛-3-磷酸脱氢酶有关的腺苷类似物的电子和结构描述符

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Quantitative structure–activity relationship (QSAR) studies were performed in order to identify molecular features responsible for the antileishmanial activity of 61 adenosine analogues acting as inhibitors of the enzyme glyceraldehyde 3-phosphate dehydrogenase of Leishmania mexicana (LmGAPDH). Density functional theory (DFT) was employed to calculate quantum-chemical descriptors, while several structural descriptors were generated with Dragon 5.4. Variable selection was undertaken with the ordered predictor selection (OPS) algorithm, which provided a set with the most relevant descriptors to perform PLS, PCR and MLR regressions. Reliable and predictive models were obtained, as attested by their high correlation coefficients, as well as the agreement between predicted and experimental values for an external test set. Additional validation procedures were carried out, demonstrating that robust models were developed, providing helpful tools for the optimization of the antileishmanial activity of adenosine compounds. View Full-Text
机译:进行了定量结构-活性关系(QSAR)研究,以鉴定引起61种腺苷类似物的抗疟疾活性的分子特征,这些腺苷类似物是墨西哥利什曼原虫3-磷酸甘油醛脱氢酶(LmGAPDH)的抑制剂。密度泛函理论(DFT)用于计算量子化学描述符,而Dragon 5.4生成了一些结构描述符。使用有序预测变量选择(OPS)算法进行变量选择,该算法提供了一组最相关的描述符来执行PLS,PCR和MLR回归。通过高相关系数以及外部测试集的预测值和实验值之间的一致性证明,可以得到可靠的预测模型。进行了额外的验证程序,表明开发了健壮的模型,为优化腺苷化合物的抗菌活性提供了有用的工具。查看全文

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