Canada Spends Logo

Explore our Budget 2026 analysis

Grant: Operating Grant

University of Toronto

$841,839.00

A computational and experimental approach to map and evolutionarily analyze protein interactions mediated by peptide recognition domains

FY 2009-10

Summary
The cell is a complex machine made of many interacting parts. Parts include proteins, encoded by genes in the genome, and other molecules, like fats and sugars. The goal of this research is to develop a map of how parts of the cell work together. This map can then be used to learn how genes function in cellular processes and what happens when specific genes fail in disease, such as cancer, heart disease and autism. With this information, researchers can better understand the underlying causes of disease in their quest to develop more timely diagnosis and better medical treatments. Immediate benefits of this research include new advances in Canadian biomedical science, more efficient use of Canadian research resources, due to the public availability of software to predict protein interactions, and an increased pool of highly qualified personnel (HQP) in the nationally underrepresented fields of Computational Biology and Bioinformatics. Longer term benefits to Canada from better understanding of cell regulatory networks include the potential for improved medical treatments that will extend the comfortable life of Canadians.
Program
Operating Grant
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
CIHR Funding Decisions Database

As published

Id
202394
Name
Bader Gary D
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Genetics
Theme2
Biomedical
Prcname2
Genomics: Systems and computational biology
Projecttitle
A computational and experimental approach to map and evolutionarily analyze protein interactions mediated by peptide recognition domains
Programtype2
Operating Grants
Orgnameinp2
University of Toronto
Cihramount2
$841,839
Cihrequipment2
$0
Programname2
Operating Grant
Keyworddelim
Bioinformatics; Computational Biology; Functional Genomics; Protein Domains; Protein Interactions; Proteomics
Abstract
The cell is a complex machine made of many interacting parts. Parts include proteins, encoded by genes in the genome, and other molecules, like fats and sugars. The goal of this research is to develop a map of how parts of the cell work together. This map can then be used to learn how genes function in cellular processes and what happens when specific genes fail in disease, such as cancer, heart disease and autism. With this information, researchers can better understand the underlying causes of disease in their quest to develop more timely diagnosis and better medical treatments. Immediate benefits of this research include new advances in Canadian biomedical science, more efficient use of Canadian research resources, due to the public availability of software to predict protein interactions, and an increased pool of highly qualified personnel (HQP) in the nationally underrepresented fields of Computational Biology and Bioinformatics. Longer term benefits to Canada from better understanding of cell regulatory networks include the potential for improved medical treatments that will extend the comfortable life of Canadians.
Competitiondate
201003
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Bader, Gary D
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $841,839~ $0~
University of Toronto - $841,839 Grant (2009-10) | Canada Spends