BMC Bioinformatics

official impact factor 3.03

Open Access Highly Access Research article

Prediction of protein binding sites in protein structures using hidden Markov support vector machine

Bin Liu1*, Xiaolong Wang1,2, Lei Lin2,3, Buzhou Tang1, Qiwen Dong4 and Xuan Wang1

Author Affiliations

1 Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, PR China

2 School of Computer Science and Technology, Harbin Institute of Technology, Harbin, PR China

3 Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, PR China

4 School of Computer Science, Fudan University, Shanghai, PR China

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BMC Bioinformatics 2009, 10:381 doi:10.1186/1471-2105-10-381

Published: 20 November 2009

Additional files

Additional file 1:

Hetero-complex I data set is available here.

Format: TXT Size: 233KB Download file

Open Data

Additional file 2:

Homo-complex I data set is available here.

Format: TXT Size: 359KB Download file

Open Data

Additional file 3:

Mix I data set is available here.

Format: TXT Size: 591KB Download file

Open Data

Additional file 4:

Hetero-complex II data set is available here.

Format: TXT Size: 233KB Download file

Open Data

Additional file 5:

Homo-complex II data set is available here.

Format: TXT Size: 359KB Download file

Open Data

Additional file 6:

Mix II data set is available here.

Format: TXT Size: 591KB Download file

Open Data

Additional file 7:

The chain IDs of each subset for 5-fold cross-validation on hetero-complex data set are available here.

Format: RAR Size: 2KB Download file

Open Data

Additional file 8:

The chain IDs of each subset for 5-fold cross-validation on homo-complex data set are available here.

Format: RAR Size: 3KB Download file

Open Data

Additional file 9:

The chain IDs of each subset for 5-fold cross-validation on mix data set are available here.

Format: RAR Size: 4KB Download file

Open Data