7–9 Apr 2011
Europe/Stockholm timezone

FunCoup: global protein networks by Bayesian integration

7 Apr 2011, 13:40
30m
FD5

FD5

Speaker

Prof. Erik Sonnhammer (Stockholm University)

Description

Interactomes computationally predicted via data integration are becoming an increasingly popular tool and context for biological research. However merging disparate data sources and presenting relevant parts of a global network is not trivial. FunCoup, an optimised Bayesian framework and a web resource, was developed to resolve these issues. FunCoup provides a number of uniqe features. (1) It annotates network edges with confidence scores in support of different kinds of interactions – physical interaction, protein complex member, metabolic or signalling link. (2) It supports selective usage of eight different types of evidence. (3) It provides on-line 'comparative interactomics' where a subnetwork in one species is aligned to an orthologous subnetwork in another species. FunCoup predictions were validated on independent cancer mutation data. The networks, which are the largest interactome reconstructions to date for nine eukaryotes, are freely available for download and query at http://FunCoup.sbc.su.se. In a recently published study, FunCoup was used to analyse cancer gene networks and to search for genes that are linked to known cancer genes in the network. This resulted in 1891 new candidates for cancer genes in total, 185 of which are linked to more than 10 known cancer genes. These genes are thus predicted to be central in processes associated with cancer, and an example of how network analysis can generate hypotheses relevant to medicine.

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