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Predicting domain-domain interactions using a parsimony approach

Katia S Guimarães12, Raja Jothi1, Elena Zotenko13 and Teresa M Przytycka1*

Author Affiliations

1 National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA

2 Center of Informatics, Federal University of Pernambuco, Recife, PE 50732, Brazil

3 Department of Computer Science, University of Maryland, College Park, MD 20742, USA

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Genome Biology 2006, 7:R104  doi:10.1186/gb-2006-7-11-r104

Published: 9 November 2006

Additional files

Additional data file 1:

The 3,000 top scoring domain pairs with a pw-score cutoff of 0.01 (network reliability 50%).

Format: XLS Size: 500KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional data file 2:

The 3,000 top scoring domain pairs with a pw-score cutoff of 0.05 (network reliability 50%).

Format: XLS Size: 497KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional data file 3:

The 3,610 domain pairs with a LP-score ≥ 0.4 and a pw-score ≤ 0.1 (network reliability 50%).

Format: TXT Size: 258KB Download file

Open Data

Additional data file 4:

The 3,944 domain pairs with a LP-score ≥ 0.4 and a pw-score ≤ 0.1 (network reliability 60%).

Format: TXT Size: 296KB Download file

Open Data

Additional data file 5:

The 783 gold standard domain pairs occurring in our dataset.

Format: XLS Size: 102KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional data file 6:

The 1,780 interacting protein pairs used in the mediating domain pair prediction experiment.

Format: TXT Size: 19KB Download file

Open Data

Additional data file 7:

The estimated sensitivity measures for the mediating domain pair prediction experiment.

Format: PDF Size: 14KB Download file

This file can be viewed with: Adobe Acrobat Reader

Open Data