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Protein Structure Recognition by Means of Sequential Pattern Mining

机译:蛋白质结构通过顺序模式挖掘识别

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In this work, an innovative classification algorithmic technique through sequential pattern mining was developed to predict the secondary structure of proteins. A basic algorithm was selected for the extraction of the sequential patterns and another algorithm was developed which employs these patterns for protein structure prediction. In the matter of predicting protein structures and scoring sequential patterns, several methodologies has been implemented that theoretically and experimentally overcome the disadvantages of existing algorithms.
机译:在这项工作中,开发了一种通过顺序模式开采的创新分类算法技术以预测蛋白质的二级结构。选择基本算法用于提取顺序图案,并开发了另一种算法,其采用这些模式进行蛋白质结构预测。在预测蛋白质结构和得分顺序模式的问题中,已经实施了几种方法,在理论上并实验地克服了现有算法的缺点。

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