Prediction of operator-binding protein by discriminant analysis

Kotoko Nakata, Jacob V. Maizel Jr.
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引用次数: 2

Abstract

A number of operator-binding proteins contain similar sequence features to Cro and cI repressors of bacteriophage and CAP protein of Escherichia coli, such as conserved amino acids at constant positions. However, these sequence patterns also occur in proteins that are not operator-binding. We use sequence analogy information in conjunction with a pattern recognition algorithm. The functional and structural properties, e.g., distributions of hydrophobicity, hydrophilicity, charged amino acids, electrostatic free energy, and helical structures of protein are also considered. Within the framework of discriminant analysis, we calculate the above variables and search for a better combination of variables. To assess the discriminatory power of these variables, we allocated additional sequences and predict DNA-binding regions of regulatory proteins not included in the training set.

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判别分析预测操作者结合蛋白
许多操作子结合蛋白具有与噬菌体的Cro和cI抑制因子以及大肠杆菌的CAP蛋白相似的序列特征,如固定位置的保守氨基酸。然而,这些序列模式也出现在非操作子结合的蛋白质中。我们将序列类比信息与模式识别算法结合使用。还考虑了蛋白质的功能和结构特性,如疏水性、亲水性、带电氨基酸、静电自由能和螺旋结构的分布。在判别分析的框架内,对上述变量进行计算,寻找更好的变量组合。为了评估这些变量的区分能力,我们分配了额外的序列,并预测了未包括在训练集中的调节蛋白的dna结合区域。
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