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This article is part of the supplement: Selected articles from The 5th IEEE International Conference on Systems Biology (ISB 2011)

Open Access Research

The drug cocktail network

Ke-Jia Xu12, Jiangning Song34 and Xing-Ming Zhao2*

Author Affiliations

1 Department of Mathematics, Shanghai University, Shanghai 200444, China

2 Institute of Systems Biology, Shanghai University, Shanghai 200444, China

3 National Engineering Laboratory for Industrial Enzymes and Key Laboratory of Systems Microbial Biotechnology, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin 300308, China

4 Department of Biochemistry and Molecular Biology, Faculty of Medicine, Monash University, Melbourne, VIC 3800, Australia

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BMC Systems Biology 2012, 6(Suppl 1):S5  doi:10.1186/1752-0509-6-S1-S5

Published: 16 July 2012

Additional files

Additional file 1:

The annotation of the neighbor drugs of DB00999 (Hydrochlorothiazide).

Format: DOC Size: 56KB Download file

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Open Data

Additional file 2:

The annotation of the neighbor drugs of DB00072 (Trastuzumab).

Format: DOC Size: 48KB Download file

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Open Data

Additional file 3:

The ranking of 1181 possible combinations by the DCPred2 model.

Format: XLS Size: 139KB Download file

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Open Data

Additional file 4:

The ranking of 419 possible combinations by the DCPred3 model.

Format: XLS Size: 62KB Download file

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Open Data

Additional file 5:

Prediction performance of the DCPred1 model at varying thresholds, as measured by Sensitivity, Specificity and Accuracy.

Format: DOC Size: 30KB Download file

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Open Data

Additional file 6:

Prediction performance of the DCPred2 model at varying thresholds, as measured by Sensitivity, Specificity and Accuracy.

Format: DOC Size: 30KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data

Additional file 7:

Prediction performance of the DCPred3 model at varying thresholds, as measured by Sensitivity, Specificity and Accuracy.

Format: DOC Size: 30KB Download file

This file can be viewed with: Microsoft Word Viewer

Open Data