FEBS Letters | |
A new quantitative criterion to distinguish between α/β and α+β proteins (domains) | |
Zhang, Chun-Ting1  Zhang, Ren2  | |
[1] Department of Physics, Tianjin University, Tianjin 300072, China;Department of Epidemiology and Biostatistics, Tianjin Cancer Institute and Hospital, Tianjin 300060, China | |
关键词: α/β protein; α+β protein; Secondary structure content; Percentage of parallel strands; Quantitative criterion; Fisher discriminant algorithm; | |
DOI : 10.1016/S0014-5793(98)01433-1 | |
学科分类:生物化学/生物物理 | |
来源: John Wiley & Sons Ltd. | |
【 摘 要 】
According to the statistical analysis, it is shown that the differences of the content of α-helix and β-strand between α/β and α+β proteins are of statistical significance. Based on the secondary structure content and the percentage of parallel or anti-parallel strands, any mixed αβ protein can be represented by a point in a three-dimensional prism. The distribution of the mapping points for 79 mixed αβ proteins (domains), of which 26 are class α/β and 53 are class α+β, shows that the two kinds of points are situated at distinct regions roughly. A new quantitative criterion based on the Fisher discriminant algorithm is proposed to distinguish between the α/β and α+β proteins (domains). Of the 79 proteins 77 are correctly classified (97.5%). As a stringent cross-validation test, the jackknife test shows that of the 79 proteins 77 are correctly classified. The jackknife test accuracy is still 97.5%. These figures indicate the self-consistence and the extrapolating effectiveness of the new quantitative criterion. Applying the new criterion to reclassify the α/β and α+β proteins (domains) in SCOP is also discussed. It is hoped that the new quantitative criterion will be useful for the development of protein classification databases.
【 授权许可】
Unknown
【 预 览 】
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