抗HIV-1药物3a, 6a -二氢- 1h -吡咯[3,4-c]吡唑-4,6-二酮衍生物的定量结构和活性关系

Q3 Biochemistry, Genetics and Molecular Biology
Ahanonu Saviour, G. Shallangwa, A. Uzairu
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引用次数: 0

摘要

一系列新的3a, 6a -二氢- 1h -吡咯[3,4-c]吡唑-4,6-二酮衍生物被报道为较好的抗hiv -1药物。本研究将3a, 6a -二氢- 1h -吡咯[3,4-c]吡唑-4,6-二酮衍生物作为抗HIV -1药物进行QSAR研究。采用遗传函数近似和多元线性回归模型两种不同的变量选择方法预测HIV-1抑制活性。模型内部验证后得到:平方相关系数(R2)为0.8823,调整后的平方相关系数(R2adj)为0.8528,遗漏(LOO)交叉验证系数(Q2cv)为0.7566。外部验证模型的预测能力,R2pred为0.6901。所得结果对设计和合成其他具有较强抗hiv活性的衍生物具有重要的指导意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative Structure and activity Relationship of 3a, 6a – Dihydro-1H- pyrrolo[ 3,4-c] pyrazole-4,6-dione Derivatives as anti HIV-1 Agents
A novel series of 3a, 6a – Dihydro-1H- pyrrolo[ 3,4-c] pyrazole-4,6-dione Derivatives have been reported as better anti-HIV 1 agents. In this study QSAR was carried on a 3a, 6a – Dihydro-1H- pyrrolo[ 3,4-c] pyrazole-4,6-dione Derivatives as anti HIV – 1 agents. Two different variable selection approaches namely: Genetic function approximation and multi linear regression models were used to predict the HIV-1 inhibition activity. The following were obtained after the model was internally validated: squared correlation coefficient (R2) of 0.8823, adjusted squared correlation coefficient (R2adj) of 0.8528 and leave one out (LOO) cross validation coefficient (Q2cv) of 0.7566. The external validation was carried out to confirm the predictive power of the model and R2pred of 0.6901 was obtained. The validated model result above showed that the five descriptors which are GATS6c, VR3_Dze, minHCsats, RDF30m and Eze contributed positively to the activity. The result obtained will be very helpful for designing and synthesizing other derivatives with improved anti-HIV activities.
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来源期刊
Turkish Computational and Theoretical Chemistry
Turkish Computational and Theoretical Chemistry Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (miscellaneous)
CiteScore
2.40
自引率
0.00%
发文量
4
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