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Updated: Mar 29, 2026

Identification of protein complexes with quantitative proteomics in S. cerevisiae
Published on: March 4, 2009
On the interconnection of stable protein complexes: inter-complex hubs and their conservation in Saccharomyces
11 School of Interactive Computing, College of Computing, Georgia Institute of Technology, 85 Fifth Street NW, Atlanta, GA 30308, USA.
Abstract:
Protein complexes are key molecular entities that perform a variety of essential cellular functions. The connectivity of proteins within a complex has been widely investigated with both experimental and computational techniques. We developed a computational approach to identify and characterise proteins that play a role in interconnecting complexes. We computed a measure of inter-complex centrality, the crossroad index, based on disjoint paths connecting proteins in distinct complexes and identified inter-complex hubs as proteins with a high value of the crossroad index. We applied the approach to a set of stable complexes in Saccharomyces cerevisiae and in Homo sapiens. Just as done for hubs, we evaluated the topological and biological properties of inter-complex hubs addressing the following questions. Do inter-complex hubs tend to be evolutionary conserved? What is the relation between crossroad index and essentiality? We found a good correlation between inter-complex hubs and both evolutionary conservation and essentiality.
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