α类蛋白质折叠类型自动化分类研究  

Research on Automatic Classification of α Protein Folding Type

作　　者：宗立平[1] 李晓琴[1] 

机构地区：[1]北京工业大学生命科学与生物工程学院,中国北京100124

出　　处：《生命科学研究》2016年第5期381-388,共8页Life Science Research

基　　金：国家自然科学基金资助项目(31171267)

摘　　要：蛋白质折叠类型识别是蛋白质结构研究的重要内容,折叠类型分类是折叠识别的基础。通过对ASTRAL-1.65数据库α类蛋白质所属折叠类型进行系统研究,建立蛋白质折叠类型模板数据库,提取反映折叠类型拓扑结构的模板特征参数,根据模板特征参数和TM-align结构比对结果,建立基于特征参数的打分函数Fdscore,并实现α类蛋白质折叠类型自动化分类。使用相同数据集样本,将Fdscore分类方法与TM-score分类方法对比,Fdscore分类方法的平均敏感性、平均特异性、MCC值分别为71.86%、99.49%、0.69,均高于TM-score分类方法相对应结果。上述结果表明该分类方法可用于α类蛋白质折叠类型的自动化分类。Protein folding type （PFT） recognition is important in protein structure analysis. PFT classification is the basis of PFT recognition. Here, a PFT template database was built based upon α protein folding types in the ASTRAL-1.65 database. Template feature parameters （TFPs） reflecting PFT topology structures were extracted. A TFP-based scoring function （Fdscore） was proposed on the basis of TFPs and structural alignment results of TM-align. Subsequently, Fdscore was used for automatic classification ofα protein folding types. The proposed Fdscore PFT classification method was compared with the TM-score method using the same data samples. Experimental results showed that the mean sensitivity, the mean specificity, and the MCC val- ue of the Fdscore method were 71.86%, 99.49%, and 0.69, respectively, each of which was higher than that of the TM-score method. The experimental results indicate that the proposed Fdscore method may be used for automatic classification of α protein folding types.

关 键 词：α类蛋白质 折叠类型 打分函数 Fdscore 自动化分类 

分 类 号：Q518.2[生物学—生物化学]