Insilico prediction of anticancer cyanobacterial drug from Nostoc

M. Sangeetha, M. Menakha, S. Vijayakumar
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引用次数: 2

Abstract

The aim of the present study was to predict the anticancer drug from the members of the cyanobacteria. In silico molecular docking was carried out between the cyanobacterial drug, cryptophycin-F and different types of cancer target proteins. Molecular docking also helped to compare the commercial drug, cabazitaxel with cyanobacterial drug, cryptophycin-F. The energy values produced by the cryptophycin-F with various cancer receptor molecules were ranging from − 259.14 to − 330.01 while, cabazitaxel showed − 228.18 to − 385.32. From the above results, it is concluded that cabazitaxel and cryptophycin-F produced more or less similar docking energy with cancer receptor molecules. Therefore, cryptophycin-F, a cyanobacterial drug can be employed as an alternative drug for treating various cancers without any side effects.

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来自Nostoc的抗癌蓝藻药物的计算机预测
本研究的目的是预测从蓝藻成员的抗癌药物。蓝藻药物隐藻素- f与不同类型的肿瘤靶蛋白进行了硅分子对接。分子对接也有助于比较商业药物卡巴他赛和蓝藻药物隐藻素f。隐藻素- f与不同肿瘤受体分子产生的能量值为−259.14 ~−330.01,而卡巴他赛产生的能量值为−228.18 ~−385.32。从以上结果可以看出,卡巴他赛和隐藻素- f与癌症受体分子的对接能量或多或少相似。因此,蓝藻药物隐藻素f可以作为治疗各种癌症的替代药物,而且没有任何副作用。
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