Grant: Operating Grant
University of Toronto
$1,060,677.00
Specificity profiling and prediction of protein networks for peptide recognition domains
EF 2008-09
Résumé
Protein-protein interactions are involved in almost all cellular processes, and in particular, eukaryotic signaling pathways are controlled by complex protein networks. These networks are essential for normal development and cell function, and furthermore, many diseases are caused by imbalances in particular signaling networks. Thus, a major goal of modern biology is to define the interacting partners in cellular networks and to elucidate the molecular basis for key protein-protein interactions. Many of these interactions are mediated by modular peptide recognition domains, which are usually imbedded in large scaffolding proteins and function by recognizing distinct linear motifs within binding partners. Our laboratory has pioneered the use of combinatorial peptide libraries for identifying high affinity ligands for peptide recognition domains. We propose a large-scale project that will define the binding specificities of all human SH3 and WW domains, polyproline recognition modules that are involved in many important signaling pathways. This analysis will contribute to the understanding of cell signaling in normal and diseased cells, and the peptide ligands will be useful as inhibitors that can be used to study protein function inside cells. Immediate benefits of the research include new advances in Canadian biomedical science, more efficient use of Canadian research resources, and an increased pool of highly qualified personnel in the nationally underrepresented field of combinatorial biology. Longer term benefits for Canada from obtaining a better understanding of cell signaling networks include potential therapies for many diseases, including cancer and infectious diseases.
Programme
Operating Grant
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
171890
Name
Sidhu Sachdev S
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Genetics
Theme2
Biomedical
Prcname2
Genomics: Systems and computational biology
Projecttitle
Specificity profiling and prediction of protein networks for peptide recognition domains
Programtype2
Operating Grants
Orgnameinp2
University of Toronto
Cihramount2
$1,060,677
Cihrequipment2
$0
Programname2
Operating Grant
Keyworddelim
Biological Pathways; Functional Genomics; Peptide Libraries; Phage Display; Protein Interactions; Proteomics
Abstract
Protein-protein interactions are involved in almost all cellular processes, and in particular, eukaryotic signaling pathways are controlled by complex protein networks. These networks are essential for normal development and cell function, and furthermore, many diseases are caused by imbalances in particular signaling networks. Thus, a major goal of modern biology is to define the interacting partners in cellular networks and to elucidate the molecular basis for key protein-protein interactions. Many of these interactions are mediated by modular peptide recognition domains, which are usually imbedded in large scaffolding proteins and function by recognizing distinct linear motifs within binding partners. Our laboratory has pioneered the use of combinatorial peptide libraries for identifying high affinity ligands for peptide recognition domains. We propose a large-scale project that will define the binding specificities of all human SH3 and WW domains, polyproline recognition modules that are involved in many important signaling pathways. This analysis will contribute to the understanding of cell signaling in normal and diseased cells, and the peptide ligands will be useful as inhibitors that can be used to study protein function inside cells. Immediate benefits of the research include new advances in Canadian biomedical science, more efficient use of Canadian research resources, and an increased pool of highly qualified personnel in the nationally underrepresented field of combinatorial biology. Longer term benefits for Canada from obtaining a better understanding of cell signaling networks include potential therapies for many diseases, including cancer and infectious diseases.
Competitiondate
200809
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Sidhu, Sachdev S
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $1,060,677~ $0~