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Bioinformatics 20(Suppl. 1) © Oxford University Press 2004; all rights reserved.

Analysis of domain correlations in yeast protein complexes

Doron Betel 1,2, Ruth Isserlin 1,2 and Christopher W. V. Hogue 1,2,*

1 Samuel Lunenfeld Research Institute, Mt Sinai Hospital, Toronto, M5G 1X5, Canada and 2 Department of Biochemistry, University of Toronto, Toronto, M5S 1A8, Canada

Received on January 15, 2004; accepted on March 1, 2004

Motivation: A growing body of research has concentrated on the identification and definition of conserved sequence motifs. It is widely recognized that these conserved sequence and structural units often mediate protein functions and interactions. The continuing advancements in high-throughput experiments necessitate the development of computational methods to critically assess the results. In this work, we analyzed high-throughput protein complexes using the domain composition of their protein constituents. Domains that mediate similar or related functions may consistently co-occur in protein complexes.

Results: We analyzed Saccharomyces cerevisiae protein complexes from curated and high-throughput experimental datasets to identify statistically significant functional associations between domains. The resulting correlations are represented as domain networks that form the basis of comparison between the datasets, as well as to binary protein interactions. The results show that the curated datasets produce domain networks that map to known biological assemblies, such as ribosome, RNA polymerase, proteasome regulators, transcription initiation and histones. Furthermore, many of these domain correlations were also found in binary protein interactions. In contrast, the high-throughput datasets contain one large network of domain associations. High connectivity of RNA processing and binding domains in the high-throughput datasets reflects the abundance of RNA binding proteins in yeast, in agreement with a previous report that identified a nucleolar protein cluster, possibly mediated by rRNA, from these complexes.

Availability: The software is available upon request from the authors and is dependent on the NCBI C++ toolkit.

Contact: hogue{at}mshri.on.ca

* To whom correspondence should be addressed.


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