Zhu Z Y
Department of Crystallography, Birkbeck College, University of London, UK.
Protein Eng. 1995 Feb;8(2):103-8. doi: 10.1093/protein/8.2.103.
For many purposes, such as the prediction of the class of protein folds, the existence of an element of secondary structure rather than its precise position and length must be defined correctly. However, most methods for the evaluation of secondary structure prediction consider success in terms of the percentage of individual amino acids predicted correctly. In this paper the success in predicting elements of secondary structure is discussed. The number of overlapping residues in the predicted and observed secondary structures were considered as a function of the total number of amino acids in the observed and predicted secondary structures. A matrix search procedure was used to remove the ambiguity which similar studies may have had in defining the equivalent secondary structures between predicted and observed structures. In this study a loop was treated in the same way as an alpha-helix and a beta-strand. To describe the accuracy at the level of elements of secondary structure, a set of parameters was defined, similar to those used commonly at the level of individual amino acids. This approach was used to assess the methods of Chou and Fasman (1974b, Biochemistry, 13, 222-245), Lim (1974b, J. Mol. Biol., 88, 873-894) and Garnier et al. (1978, J. Mol. Biol., 120, 97-120). It was found that these methods were much poorer at the secondary structure level than at the amino acid level. This approach can be used generally for secondary structure prediction methods.
在许多情况下,比如预测蛋白质折叠的类别,必须正确定义二级结构元件的存在,而不是其精确的位置和长度。然而,大多数二级结构预测评估方法是根据预测正确的单个氨基酸的百分比来衡量成功与否。本文讨论了预测二级结构元件的成功情况。预测和观察到的二级结构中重叠残基的数量被视为观察和预测的二级结构中氨基酸总数的函数。使用矩阵搜索程序来消除类似研究在定义预测结构和观察结构之间等效二级结构时可能存在的模糊性。在本研究中,环的处理方式与α螺旋和β链相同。为了描述二级结构元件水平的准确性,定义了一组参数,类似于通常在单个氨基酸水平使用的参数。该方法用于评估Chou和Fasman(1974b,《生物化学》,13,222 - 245)、Lim(1974b,《分子生物学杂志》,88,873 - 894)以及Garnier等人(1978,《分子生物学杂志》,120,97 - 120)的方法。结果发现,这些方法在二级结构水平上比在氨基酸水平上差得多。这种方法通常可用于二级结构预测方法。