Studi Potensi Pirazolin Tersubstitusi 1-N dari Thiosemicarbazone sebagai Agen Antiamuba melalui Uji In Silico

Akram la Kilo, La ode Aman, Ismail Sabihi, Jafar La Kilo
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引用次数: 12

Abstract

This Research aims to study Quantitative Structure-Activity Relationship (QSAR) of pyrazoline analogues, designing the new potential compounds as antiamoebic and study the interactions between the new compunds and the drugs target by molecular docking approach. This research was a theoritical research using computational chemistry method. The object of research was 21 novel of 1-N-substituted pyrazoline analogues of thiosemicarbazones with their antiamoebic biological activity. The data of research was obtained from quantum chemistry calculation and statistically analysis using Multiple Linear Regression (MLR). The resulting QSAR equation was Log IC50 = 0.869 + (0.081 x TPSA) + (0.018 x HF) + (0.527 x E-HOMO) + (3.378 x E-LUMO) + (-16.938 x Glob) + (0.234 x LogP), with statistic parameters of n = 21; R2 = 0.933; SEE = 0.14558; FHitung/FTabel = 8.607; PRESS = 0.491. This equation was used as a basic for designing and predicting the new antiamoebic compounds of pyrazoline analogues. The design of new compound of two lead compounds with the Topliss resulted 5 of 18 new compounds having theoretical better activity than the lead compound. Molecular docking study indicated that all of the best compounds have ability to bind to drug target macromolecule.
一项关于梦唑林转会的研究,将硫三元碳化物替换为1-N,通过二氧化硅试剂
本研究旨在研究吡唑啉类似物的定量构效关系(Quantitative Structure-Activity Relationship, QSAR),设计具有抗阿米巴潜力的新化合物,并通过分子对接方法研究新化合物与药物靶点的相互作用。本研究是运用计算化学方法进行的理论研究。研究了21个具有抗阿米巴生物活性的新型1- n取代吡唑啉类硫代氨基脲类化合物。研究数据通过量子化学计算和多元线性回归(MLR)统计分析得到。得到的QSAR方程为logic50 = 0.869 + (0.081 × TPSA) + (0.018 × HF) + (0.527 × E-HOMO) + (3.378 × E-LUMO) + (-16.938 × Glob) + (0.234 × LogP),统计参数n = 21;R2 = 0.933;参见= 0.14558;FHitung/ ftable = 8.607;按= 0.491。该方程可作为设计和预测吡唑啉类似物抗阿米巴化合物的基础。用Topliss设计了两种先导化合物的新化合物,结果18种新化合物中有5种具有比先导化合物更好的理论活性。分子对接研究表明,所有最佳化合物都具有与药物靶大分子结合的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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