首页> 外文期刊>Journal of Pure & Applied Microbiology >Assessment of Prokaryotic Signal Peptides for Secretion of Tumor Necrosis Factor Related Apoptosis Inducing Ligand (TRAIL) in E. coli: An in silico Approach
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Assessment of Prokaryotic Signal Peptides for Secretion of Tumor Necrosis Factor Related Apoptosis Inducing Ligand (TRAIL) in E. coli: An in silico Approach

机译:评估大肠杆菌中肿瘤坏死因子相关凋亡诱导配体(TRAIL)分泌的原核信号肽:计算机方法

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摘要

Extracellular secretion of recombinant proteins in E. coli has various advantages, including proper folding and biological activity of proteins, lack of inclusion body, and simple steps of recombinant protein purification. But selection of a suitablesignal peptide for secretion of recombinant proteins is performed mainly by trial and error which is a time-consuming and costly process. The aim of this study is in silico evaluation of common signal peptides to select the appropriate signal peptides for secretion of TRAIL protein in E. coli. SignalP server was used to predict the potential of a TRAIL-binding signal peptide and identify its correct cleavage by signal peptidase enzyme. The physicochemical properties of signal peptides and the solubilityof TRAIL bound to the signal peptides were calculated by means of ProtParam and SOLpro, respectively. Results showed that of the 26 signal peptides studied, 18 signal peptides had this ability. Among these signal peptides, SfmC, OmpC, DsbA, and PhoA were good candidates for secretion of TRAIL in E. coli.
机译:重组蛋白在大肠杆菌中的细胞外分泌具有多种优势,包括蛋白的适当折叠和生物学活性,缺乏包涵体以及重组蛋白纯化的简单步骤。但是,主要通过反复试验来选择用于分泌重组蛋白的合适的信号肽,这是耗时且昂贵的过程。这项研究的目的是对常用信号肽进行计算机评估,以选择合适的信号肽以在大肠杆菌中分泌TRAIL蛋白。 SignalP服务器用于预测TRAIL结合信号肽的潜力,并通过信号肽酶识别其正确切割。分别通过ProtParam和SOLpro计算信号肽的理化性质和与信号肽结合的TRAIL的溶解度。结果表明,在研究的26种信号肽中,有18种信号肽具有这种能力。在这些信号肽中,SfmC,OmpC,DsbA和PhoA是在大肠杆菌中分泌TRAIL的良好候选物。

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