Predicting domain-domain interactions using a parsimony approach

Katia S Guimarães¹^,2 , Raja Jothi¹ , Elena Zotenko¹^,3 and Teresa M Przytycka¹

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

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

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

author email corresponding author email

Genome Biology 2006, 7:R104doi:10.1186/gb-2006-7-11-r104


Published:	9 November 2006

Subject areas: Bioinformatics, Biochemistry and structural biology, Molecular biology

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

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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

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

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

Additional data file 5:

The 783 gold standard domain pairs occurring in our dataset.

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Additional data file 6:

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

Format: TXT Size: 19KB Download file

Additional data file 7:

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

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