G.H. Patel P.G. Department of Computer Science & Technology, Sardar Patel University, Vallabh Vidyanagar, Gujarat, India.
Interdiscip Sci. 2012 Dec;4(4):302-9. doi: 10.1007/s12539-012-0145-6. Epub 2013 Jan 26.
VacA is a high-molecular weight multimeric pore-forming protein encoded by the chromosomal gene vacA of Helicobacter pylori J99 strian. It plays a significant role in the development of gastric cancer in human by inducing the formation of vacuoles. Genomics and proteomics features of an organism have provided a plethora of potential drug targets. The crystal structure of VacA is not available in any structural database; hence a 3D structure is very essential for structural studies and discovery of potential inhibitors against proteins. In this study 3D structure of VacA is modelled a by using Bhageerath: an energy based web enabled computer software suite. According to our study VacA steriochemical validation shows 91.7% residues are in allowed region of Ramachandran plot. Further validation was done by WHAT CHECK to provide evidence that the distribution of the main chain bond lengths and omega bond angles were within limits with Z-score 1.0 and error values are negligible. The modelled protein was submitted to Protein Model Database and can be downloaded with PMDID PM0077963. Further we found that metallo peptidase "M3" cleaves VacA and helps in import mechanism in mitochondria. Structure of metallo peptidase is also not available in any structural database so we modelled and validated its structure. With the help of docking studies we blocked the active site of metallo peptidase by ligand LA3 and 294 with binding energy -5.9 and -5.2 KJ/mol respectively, thus prevented import mechanism of VacA in mitochondria. The inhibitors identified from our study were LA3 and 294 ligands. The investigation concluded that these drugs could be used as the potential inhibitors against the damage of stomach and duodenum, which ultimately reduces the likelihood of ulcer as well as gastric cancer.
空泡毒素 A(VacA)是一种高分子量多聚体孔形成蛋白,由幽门螺杆菌 J99 株染色体基因 vacA 编码。它通过诱导空泡形成,在人类胃癌的发展中发挥重要作用。
基因组学和蛋白质组学为药物靶点的发现提供了大量的潜在目标。目前在任何结构数据库中都没有 VacA 的晶体结构,因此 3D 结构对于结构研究和发现潜在的蛋白抑制剂非常重要。在这项研究中,使用 Bhageerath:一种基于能量的网络启用计算机软件套件对 VacA 的 3D 结构进行建模。根据我们的研究,VacA 的立体化学验证表明,91.7%的残基位于 Ramachandran 图的允许区域内。进一步的验证是通过 WHAT CHECK 完成的,它提供了证据表明主链键长和 omega 键角的分布在限制范围内,Z 分数为 1.0,误差值可以忽略不计。建模的蛋白质被提交到蛋白质模型数据库,并可以使用 PM0077963 的 PMDID 下载。
进一步研究发现,金属肽酶“M3”切割 VacA 并帮助其在线粒体中导入。金属肽酶的结构也不在任何结构数据库中,因此我们对其进行建模和验证。通过对接研究,我们使用配体 LA3 和 294 分别将金属肽酶的活性位点阻断,结合能为-5.9 和-5.2 KJ/mol,从而阻止了 VacA 在线粒体中的导入机制。从我们的研究中鉴定出的抑制剂是 LA3 和 294 配体。
研究结果表明,这些药物可以作为潜在的抑制剂,用于防止胃和十二指肠的损伤,从而降低溃疡和胃癌的可能性。