Behbahani Mandana, Mohabatkar Hassan, Nosrati Mokhtar
Department of Biotechnology, Faculty of Advanced Sciences and Technologies, University of Isfahan, Isfahan, Iran.
Department of Biotechnology, Faculty of Advanced Sciences and Technologies, University of Isfahan, Isfahan, Iran.
J Theor Biol. 2016 Dec 21;411:1-5. doi: 10.1016/j.jtbi.2016.09.001. Epub 2016 Sep 8.
Lignin peroxidases (LiPs) are important enzymes in the degradation process of lignin which are presented in different species of fungi and bacteria. In the present study, sequence and structure-based properties of LPs in fungi and bacteria are compared. These properties include pseudo amino acid composition (PseAAC), physicochemical properties and the secondary structure. Autodock 4 has been used for docking between LiPs and lignan. The motifs of LiP were predicted by MEME tool. Statistical analysis and Multinomial Naïve Bayes (MNB) algorithm were used for the classification of two LiP protein groups. The results demonstrated that molecular weight, isoelectric point, aliphatic, extinction coefficient and random coil percentage of LiPs in fungi and bacteria were significantly different between these two groups. The classification of these two groups based on the concept of PseAAC showed over 80% accuracy. The binding free energy between bacterial LiPs and lignan is significantly more than fungi LiP and ligand. The aliphatic and instability of most important motifs of bacteria and fungi were significantly different. In conclusion, the results indicated that computational techniques could provide useful information for comparing fungal and bacterial LiPs. These results can also explain that there is a relationship between efficacy and physicochemical properties of LiPs.
木质素过氧化物酶(LiPs)是木质素降解过程中的重要酶,存在于不同种类的真菌和细菌中。在本研究中,对真菌和细菌中LiPs基于序列和结构的特性进行了比较。这些特性包括伪氨基酸组成(PseAAC)、理化性质和二级结构。Autodock 4已用于LiPs与木脂素之间的对接。通过MEME工具预测LiP的基序。使用统计分析和多项式朴素贝叶斯(MNB)算法对两个LiP蛋白组进行分类。结果表明,真菌和细菌中LiPs的分子量、等电点、脂肪族、消光系数和无规卷曲百分比在这两组之间存在显著差异。基于PseAAC概念对这两组进行分类的准确率超过80%。细菌LiPs与木脂素之间的结合自由能明显高于真菌LiP与配体之间的结合自由能。细菌和真菌最重要基序的脂肪族和不稳定性存在显著差异。总之,结果表明计算技术可为比较真菌和细菌LiPs提供有用信息。这些结果还可以解释LiPs的功效与理化性质之间存在关系。