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。
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。
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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