Method
Inferring protein domain interactions from databases of interacting proteins
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* Corresponding author: David Eisenberg david@mbi.ucla.edu
1 Department of Human Genetics, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, CA 90095, USA
2 Institute for Genomics and Proteomics, University of California Los Angeles, Los Angeles, CA 90095, USA
3 Howard Hughes Medical Institute, University of California Los Angeles, Los Angeles, CA 90095-1570, USA
Genome Biology 2005, 6:R89 doi:10.1186/gb-2005-6-10-r89
Published: 19 September 2005Additional files
Additional data file 1:
Numbers of DIP proteins and protein-protein interactions used per organism
Format: PDF Size: 145KB Download file
This file can be viewed with: Adobe Acrobat Reader
Additional data file 4:
DIP protein accession numbers followed by the Pfam 14.0 domain ID
Format: TXT Size: 484KB Download file
Additional data file 5:
3,005 inferred domain interactions with an E score > 3.0, and the organisms that contributed evidence
Format: TXT Size: 232KB Download file
Additional data file 6:
All protein interactions from the DIP dataset in Additional data file 3 in which both proteins are from the yeast Saccharomyces. cerevisiae
Format: TXT Size: 194KB Download file
Additional data file 7:
52 randomly-assigned, unrecorded interactions between yeast proteins where one protein has a Cyclin_N domain and the other protein has a Pkinase domain. For all simulated interactions, the field exp_class is given the value 'h' for 'hypothetical'
Format: TXT Size: 1KB Download file
Additional data file 8:
Nodes, edges, and node-to-domain mappings in a hypothetical protein interaction network. Format of each respective section is the same as in additional data files for DIP proteins, interactions, and domain mappings.
Format: TXT Size: 1KB Download file