This funding will support the development of bioinformatics tools applied to proteomics.
Genome Canada announced the successful projects resulting from the 2012 Bioinformatics and Computational Biology Competition.
The Competition supports the next generation of tools that are required
to deal with the large amounts of data produced by modern genomics
technologies and to provide the research community broad access to these
tools.
Drs Mike Tyers of IRIC at University of Montreal and Anne-Claude Gingras
of the Samuel Lunenfeld Research Institute of Mount Sinai Hospital in
Toronto were awarded a $ 1M grant from Genome Canada for their project
“ProHits Next Generation: A flexible system for tracking, analyzing and
reporting functional proteomics data.” The Canadian Institutes of Health
Research (CIHR), Génome Québec and the Ontario Genomics Institute also
contributed to this grant.
Cells contain tens
of thousands of different proteins that perform most of the activities
necessary for life. Like the genome that describes the set of all genes
of a cell, the proteome is the set of all proteins of a specific cell
type. To gain insight into the cause of a disease and to develop new
approaches to treat disease, it is necessary to understand how proteins
interact with and modify each other. Mass spectrometry is now being used
to identify proteins and their modifications and interactions at the
proteome scale.
The project of Drs. Tyers and Gingras and their collaborators, including Dr. Pierre Thibault
of IRIC, aims to develop innovative ways to analyze massive amount of
data generated by mass spectrometry studies across the proteome and
especially new bioinformatics tools to improve our understanding of the
effects resulting from disease states and drug treatments on protein
interactions.
According to Dr.
Tyers “It is clear that it is the lack of understanding of complex
biological systems that most often leads to failure of drug candidates
in clinical trials. Thanks to these innovative approaches, a better
understanding of complex systems of cell regulation will better predict
the overall biological effects of small molecule much earlier in the
process of drug development.”
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