Literature DB >> 17237052

Comparison of human protein-protein interaction maps.

Matthias E Futschik1, Gautam Chaurasia, Hanspeter Herzel.   

Abstract

MOTIVATION: Large-scale mappings of protein-protein interactions have started to give us new views of the complex molecular mechanisms inside a cell. After initial projects to systematically map protein interactions in model organisms such as yeast, worm and fly, researchers have begun to focus on the mapping of the human interactome. To tackle this enormous challenge, different approaches have been proposed and pursued. While several large-scale human protein interaction maps have recently been published, their quality remains to be critically assessed.
RESULTS: We present here a first comparative analysis of eight currently available large-scale maps with a total of over 10,000 unique proteins and 57,000 interactions included. They are based either on literature search, orthology or by yeast-two-hybrid assays. Comparison reveals only a small, but statistically significant overlap. More importantly, our analysis gives clear indications that all interaction maps imply considerable selection and detection biases. These results have to be taken into account for future assembly of the human interactome. AVAILABILITY: An integrated human interaction network called Unified Human Interactome (UniHI) is made publicly accessible at http://www.mdc-berlin.de/unihi. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

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Year:  2007        PMID: 17237052     DOI: 10.1093/bioinformatics/btl683

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  35 in total

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Review 6.  Signal initiation in biological systems: the properties and detection of transient extracellular protein interactions.

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7.  Inferring modules from human protein interactome classes.

Authors:  Elisabetta Marras; Antonella Travaglione; Gautam Chaurasia; Matthias Futschik; Enrico Capobianco
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10.  An empirical framework for binary interactome mapping.

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Journal:  Nat Methods       Date:  2008-12-07       Impact factor: 28.547

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