Selvaraj Chandrabose, Omer Ankur, Singh Poonam, Singh Sanjeev Kumar
Computer Aided Drug Design and Molecular Modeling Lab, Department of Bioinformatics, Science Block, Alagappa University, Karaikudi-630004, Tamilnadu, India.
Mol Biosyst. 2015 Jan;11(1):178-89. doi: 10.1039/c4mb00486h. Epub 2014 Oct 22.
Retroviruses HIV-1 and HTLV-1 are chiefly considered to be the most dangerous pathogens in Homo sapiens. These two viruses have structurally unique protease (PR) enzymes, which are having common function of its replication mechanism. Though HIV PR drugs failed to inhibit HTLV-1 infections, they emphatically emphasise the need for designing new lead compounds against HTLV-1 PR. Therefore, we tried to understand the binding level interactions through the charge environment present in both ligand and protein active sites. The domino effect illustrates that libraries of purvalanol-A are attuned to fill allosteric binding site of HTLV-1 PR through molecular recognition and shows proper binding of ligand pharmacophoric features in receptor contours. Our screening evaluates seven compounds from purvalanol-A libraries, and these compounds' pharmacophore searches for an appropriate place in the binding site and it places well according to respective receptor contour surfaces. Thus our result provides a platform for the progress of more effective compounds, which are better in free energy calculation, molecular docking, ADME and molecular dynamics studies. Finally, this research provided novel chemical scaffolds for HTLV-1 drug discovery.
逆转录病毒HIV-1和HTLV-1主要被认为是人类中最危险的病原体。这两种病毒具有结构独特的蛋白酶(PR)酶,它们在复制机制中具有共同功能。尽管HIV PR药物未能抑制HTLV-1感染,但它们着重强调了设计针对HTLV-1 PR的新先导化合物的必要性。因此,我们试图通过配体和蛋白质活性位点中存在的电荷环境来了解结合水平的相互作用。多米诺效应表明,嘌呤醇-A文库通过分子识别来适应填充HTLV-1 PR的变构结合位点,并在受体轮廓中显示配体药效团特征的适当结合。我们的筛选评估了嘌呤醇-A文库中的七种化合物,这些化合物的药效团在结合位点寻找合适的位置,并根据各自的受体轮廓表面很好地定位。因此,我们的结果为更有效的化合物的开发提供了一个平台,这些化合物在自由能计算、分子对接、药物代谢动力学和分子动力学研究方面表现更好。最后,这项研究为HTLV-1药物发现提供了新的化学支架。