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Shared Protein Complex Subunits Contribute to Explaining Disrupted Co-occurrence

Overview of attention for article published in PLoS Computational Biology, July 2013
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Title
Shared Protein Complex Subunits Contribute to Explaining Disrupted Co-occurrence
Published in
PLoS Computational Biology, July 2013
DOI 10.1371/journal.pcbi.1003124
Pubmed ID
Authors

Adrian Schneider, Michael F. Seidl, Berend Snel

Abstract

The gene composition of present-day genomes has been shaped by a complicated evolutionary history, resulting in diverse distributions of genes across genomes. The pattern of presence and absence of a gene in different genomes is called its phylogenetic profile. It has been shown that proteins whose encoding genes have highly similar profiles tend to be functionally related: As these genes were gained and lost together, their encoded proteins can probably only perform their full function if both are present. However, a large proportion of genes encoding interacting proteins do not have matching profiles. In this study, we analysed one possible reason for this, namely that phylogenetic profiles can be affected by multi-functional proteins such as shared subunits of two or more protein complexes. We found that by considering triplets of proteins, of which one protein is multi-functional, a large fraction of disturbed co-occurrence patterns can be explained.

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The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 4%
Netherlands 1 4%
Korea, Republic of 1 4%
United Kingdom 1 4%
United States 1 4%
Unknown 20 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 36%
Student > Master 4 16%
Student > Bachelor 4 16%
Researcher 3 12%
Other 1 4%
Other 2 8%
Unknown 2 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 68%
Biochemistry, Genetics and Molecular Biology 3 12%
Computer Science 2 8%
Engineering 1 4%
Unknown 2 8%