CNSB will continuously develop and apply innovative multidisciplinary strategies to identify macromolecules of broad biomedical significance. These include powerful integrative computational approaches to combine our proteomic data with complementary genomic and metabolomic information.

CNSB will generate ground-breaking probabilistic molecular interaction “maps” to define the roles and associations of the many new protein complexes we discover: particular attention will be paid to their functional significance in normal and disease states.

Then, with our many expert biology and clinical partners, members of the Center will perform rigorous, in-depth follow-up mechanistic investigations to validate macromolecules predicted to play key roles in core cellular processes, proper development, and human disease.

As part of its service to the research community, the CNSB will implement outreach and training programs to enable skills uptake by researchers outside of the Center.

Together, the innovative tools, training, and datasets created by the CNSB will serve as valuable resources for the broader scientific community. By drawing together an outstanding team of experts in network biology, systems biology, molecular biology, chemical biology, genomics, and computational modelling, the CNSB aims to create a world class platform for exploring molecular networks and their links to human health and disease.

Outstanding publications record

CNSB’s research findings are widely accessed via public databases, and our own dedicated web portals and publications. Over the past decade, we have produced over 150 high-impact peer-reviewed papers, including 75 in the past 5 years alone, which have garnered over 20,000 citations. These include the first proteome-scale studies of protein interaction networks in yeast, E. coli, humans and many other animals.

Notable publications by Center members include:

Wan et al: “Panorama of ancient metazoan macromolecular complexes” Nature (2015) 525:339.

We used our unique discovery platform to document >1 million protein interactions across virtually all multicellular species.

Kislinger et al: “Global survey of organ and organelle protein expression in mouse: combined proteomic and transcriptomic profiling.” Cell (2006) 125:173.

We defined the tissue and subcellular localization patterns of thousands of mammalian proteins.

Havugimana et al: “A census of human soluble protein complexes” Cell (2012) 150:1068.

We used a unique integrative proteomics approach to identify hundreds of protein complexes in human cell lines, many linked to disease.

Krogan et al: ”Global landscape of protein complexes in the yeast Saccharomyces cerevisiae. Nature (2006) 440:637-43.

First article documenting the global physical interactome of macromolecules in a eukaryotic cell.

Babu et al: “Interaction landscape of membrane-protein complexes in Saccharomyces cerevisiae.

Nature (2012) 489:585. This is first ever global map of membrane protein complexes, which we reported for the yeast cell envelope.

Butland et al: “Interaction network containing conserved and essential protein complexes in Escherichia coli.” Nature (2005) 433:531.

The first global map of protein complexes for bacteria, defining a core network of conserved microbial assemblies