Siva Prasad Chekkara Venkata Sathya, Gupta Saurabh, Gaponenko Alex, Dhar Murli
Division of Applied Sciences & IRCB, Indian Institute of Information Technology, Deoghat, Jhalwa, Allahabad 211012, India.
Bioinformation. 2012;8(14):673-7. doi: 10.6026/97320630008673. Epub 2012 Jul 21.
The nematodes like root-knot and cyst are plant-parasitic pest found in horticultural and agricultural crops. They do damages in the roots of plants as a result losses million tons of production. High cost of nematicides and environment safety concern has necessitated finding of some alternative methods. Under Integrated Pest Management (IPM) such problems are solving significantly by means of target gene inhibition, agrobacterium mediated transformation etc. One of this strategy use Plant Proteinase Inhibitors (PIs) gene which are used to control the proteolysis mechanism of Pest by inhibiting gut Serine Proteinase (SP). Present work investigates the utility of computer aided methods to study the mechanism of Protein-Protein interactions and thereby inhibition of Serine Proteinase by PIs. Hence 3D models of Serine Proteinase as well as Serine Proteinase Inhibitors (SPIs) generated using homology modeling. Validations of constructed models have been done by PROCHECK, VERIFY3D, ERRAT and PROSA. Prediction of Protein interacting surface patches and site specific protein docking was performed by using ZDOCK Server. Backbone refinement of output protein complexes was executed in Fiber Dock server. Interaction study between SP and SPIs complexes shows their comparative inhibition efficacy, measured in terms of number of hydrogen bonds, Van dar wall attraction and docking energy. This work reported that Vigna marina and Phaseolus oligospermus are having better inhibition efficiency in comparison to other inhibitors.
根结线虫和孢囊线虫等线虫是在园艺作物和农作物中发现的植物寄生性害虫。它们会对植物根系造成损害,导致数百万吨产量损失。杀线虫剂成本高昂且存在环境安全问题,因此有必要寻找一些替代方法。在综合虫害管理(IPM)中,通过靶基因抑制、农杆菌介导转化等方法,此类问题得到了显著解决。其中一种策略是使用植物蛋白酶抑制剂(PIs)基因,该基因通过抑制肠道丝氨酸蛋白酶(SP)来控制害虫的蛋白水解机制。目前的研究调查了计算机辅助方法在研究蛋白质-蛋白质相互作用机制以及由此PIs对丝氨酸蛋白酶抑制作用方面的实用性。因此,利用同源建模生成了丝氨酸蛋白酶以及丝氨酸蛋白酶抑制剂(SPIs)的三维模型。已通过PROCHECK、VERIFY3D、ERRAT和PROSA对构建的模型进行了验证。使用ZDOCK服务器进行蛋白质相互作用表面斑块的预测和位点特异性蛋白质对接。在Fiber Dock服务器中对输出的蛋白质复合物进行主链优化。SP和SPIs复合物之间的相互作用研究显示了它们的相对抑制效果,以氢键数量、范德华吸引力和对接能量来衡量。这项研究报告称,与其他抑制剂相比,滨海豇豆和少籽菜豆具有更好的抑制效率。