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3D Structure Determination and Validation of mTORC2 using Computational Modeling Techniques

机译:利用计算建模技术确定mTORC2的3D结构并进行验证

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As the mammalian target of rapamycin (mTOR) regulated pathway has been found most commonly activated and deregulated in cancer, so there is a need to understand the underlying mechanism of its key interacting proteins. Structural insights of proteins so far undiscovered will unravel these phenomenons. 3D structure of mTORC2 is built using several ab - initio protein structure prediction tools and homology modelling algorithm of Modeller. The quality and validation of the obtained models were accessed using Errat, PROSA and Qmean softwares while the Ramachandran plot was used to access the overall stereochemical properties of the proteins. The individual protein subunits were finally docked using HADDOCK webserver. This approach will aid in understanding the function of individual proteins and a step forward towards drug designing against cancer.
机译:由于发现哺乳动物中雷帕霉素(mTOR)调控的靶标最常在癌症中被激活和失控,因此有必要了解其关键相互作用蛋白的潜在机制。迄今为止尚未发现的蛋白质的结构见解将揭示这些现象。 mTORC2的3D结构是使用几种从头算蛋白质结构预测工具和Modeller的同源性建模算法构建的。使用Errat,PROSA和Qmean软件访问获得的模型的质量和验证,同时使用Ramachandran图访问蛋白质的整体立体化学特性。最后,使用HADDOCK网络服务器将各个蛋白亚基对接。这种方法将有助于理解单个蛋白质的功能,并朝着针对癌症的药物设计迈出了一步。

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