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Open Access Highly Accessed Methodology article

Comparison study on statistical features of predicted secondary structures for protein structural class prediction: From content to position

Qi Dai1*, Yan Li1, Xiaoqing Liu2, Yuhua Yao1*, Yunjie Cao1 and Pingan He3

Author Affiliations

1 College of Life Sciences, Zhejiang Sci-Tech University, Hangzhou, 310018, China

2 College of Science, Hangzhou Dianzi University, Hangzhou, 310018, China

3 College of Science, Zhejiang Sci-Tech University, Hangzhou, 310018, China

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BMC Bioinformatics 2013, 14:152  doi:10.1186/1471-2105-14-152

Published: 4 May 2013

Additional files

Additional file 1: Table S1:

The overall prediction accuracy for four data sets obtained with the CBF-PSSEs combined with the CBF-PSSE contentSE.

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Additional file 2: Table S2:

The cumulative content of the interval distance for the datasets 25PDB, 640, FC699 and 1189. Here, we calculate the cumulative content of Dis(C), Dis(E) and Dis(H), and the interval distance is added up to k=5, 10, 15, 20, 25 and 30.

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Additional file 3: Table S3:

Comparison between PBF-PSSEs CF(δ) and C5(δ) for the datasets 25PDB, 640, FC699 and 1189, where CF and C5 denote PBF-PSSEs CF(δ) and C5(δ).

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