Absrtact: Mainly introduces protein secondary structure prediction based on structural machine learning-covering algorithm.

摘要：介绍了构造性机器学习方法——覆盖算法在蛋白质二级结构预测中的应用。

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Protein secondary structure prediction is a fundamental and important component in the study of protein structure and functions.

蛋白质二级结构是研究蛋白质结构和功能的基础和重要组成部分。

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Protein secondary structure prediction becomes the most important step of predicting the space conformation from protein molecule.

蛋白质二级结构预测是蛋白质结构预测的重要组成部分，是蛋白质结构预测最关键的步骤。

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