Prediction of protein secondary structure based on residue pairs.
Prediction of protein secondary structure based on residue pairs.
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DOI：
10.1142/s0219720004000594
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发表时间：
2004-06-01
影响因子：
1
通讯作者：
Zheng, Wei-Mou
中科院分区：
文献类型：
--
作者：
Liu, Xin;Zhang, Li-Mei;Zheng, Wei-Mou
将预测蛋白质二级结构的GOR程序扩展到包括三重相关。在残基对处于固定状态的条件下，通过描述残基对两侧窗口各位置氨基酸频率的条件权矩阵，推导出残基对处于特定构象状态的评分系统。利用该评分系统建立了预测蛋白质二级结构的程序。在使用从PDB_SELECT创建的学习集训练模型之后，用两个测试集测试程序。作为单序列预测二级结构的方法，该方法的预测精度接近70%。
The GOR program for predicting protein secondary structure is extended to include triple correlation. A score system for a residue pair to be at certain conformation state is derived from the conditional weight matrix describing amino acid frequencies at each position of a window flanking the pair under the condition for the pair to be at the fixed state. A program using this score system to predict protein secondary structure is established. After training the model with a learning set created from PDB_SELECT, the program is tested with two test sets. As a method using single sequence for predicting secondary structures, the approach achieves a high accuracy near 70%.