A network analysis approach to discover protein function using orthology and *omics data


Project leader


Funding source

Swedish Research Council - Vetenskapsrådet (VR)


Project Details

Start date: 01/01/2007
End date: 31/12/2011
Funding: 1500000 SEK


Description

The project aims to develop computational methods and databases that will be used to discover protein function with a focus on identifying new disease genes. By using genomics, proteomics, and functional genomics (*omics) data in model organisms, proteins that are functionally coupled to the disease genes are found. Orthologs are used to link functionally corresponding proteins between different species. The research will include data collection of all relevant *omics data in human and model organisms, and benchmarking these using gold standard reference sets. Different mathematical frameworks for combining orthology assignments and heterogeneous sources of functional coupling will be tested. The optimized method will be applied to generate new candidate disease genes, and to set up a database resource for general usage. The group has previously developed algorithms and tools for high throughput detection of orthologs that have been applied to all completely sequenced eukaryotic genomes (http://InParanoid.cgb.ki.se) and to disease genes from OMIM (http://OrthoDisease.cgb.ki.se). Preliminary results indicate that strong support for hundreds of new candidate disease genes may be found this way. Establishing a database of candidate disease genes will be an important resource for leading biomedical research into new areas. The most promising candidate genes will be further explored by collaborations with experimental and clinical groups.

Last updated on 2017-31-03 at 12:58