Research article
Triangle network motifs predict complexes by complementing high-error interactomes with structural information
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* Corresponding author: Bill Andreopoulos williama@biotec.tu-dresden.de
1 Biotechnology Center (BIOTEC), Technische Universität Dresden, 01307 Dresden, Germany
2 nanometis, Tatzberg 47-49, 01307 Dresden, Germany
BMC Bioinformatics 2009, 10:196 doi:10.1186/1471-2105-10-196
Published: 27 June 2009Additional files
Additional file 1:
An excel file with Uniprot accession numbers for all protein names used in the text.
Format: XLS Size: 8KB Download file
This file can be viewed with: Microsoft Excel Viewer
Additional file 2:
Manually curated network example from the literature, representing myosin-actin involvement in cytoskeleton organisation.
Format: TXT Size: 1KB Download file
Additional file 3:
Manually curated network example from the literature, representing myosin-actin involvement in mRNA translocation.
Format: TXT Size: 1KB Download file
Additional file 4:
Manually curated network example from the literature, representing myosin-actin involvement in nucleus transcription.
Format: TXT Size: 1KB Download file
Additional file 6:
A script for converting MIPS complexes to a SPOKE model network.
Format: ZIP Size: 1KB Download file