摘要
为了探究氨基酸组成对β-琼胶酶催化底物时的最适温度的影响,分别统计分析了酶全长、N端、M段及C端序列中20种氨基酸出现的频次。以支持向量机回归构建了氨基酸组成与β-琼胶酶最适温度的模型,10-倍交叉验证获得最小平均绝对误差(MAE),线性核函数的M端为4.36℃,RBF核函数的M端为4.16℃,独立样本测试得到N端的MAE分别为3.12℃和4.43℃。上述结果表明,该酶N端和M端是影响其最适温度的重要因素。通过比较最适温度为60℃和30℃β-琼胶酶的高级结构,推测M端和N端中3个螺旋结构是影响该酶最适温度的重要因素。
To explore how the composition of amino acids influence the optimum temperature of β-agarases,we counted and calculated the frequences the amino acids for full-length,N terminal,M section and C-terminal sequence of β-agarases respectively.And then,we constructed support vector regression model to represent the relationships between amino acid composition and the optimum temperature.Based on the mean absolute error(MAE)of 10-fold cross-validation,the M section of linear and RBF kernel is the best,with the MAEs of 4.36℃ and 4.16℃,respectively.While the the minimum MAE of the independent test was obtained by the N terminal,with the MAEs of 3.12℃ and 4.43℃ respectively.The results showed that N terminal and M section of β-agarases might have great influence on its optimum temperature.By comparing the 3D structure of the β-agarases with the optimum temperature of 30℃ and 60℃,we speculated that there were 3 helical structure differences in N terminal and M section,which should be the key factors that affect the thermostability of the β-agarases.
引文
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