Grant: Discovery Grants Program - Individual
Université du Québec à Trois-Rivières
$26,000.00
Elucidation of structure-properties relationships in carboxylesterases.
EF 2015-16
Résumé
The understanding of sequence-structure-properties relationships in proteins has never been so important as in this post-genomic era. Currently, protein purification and characterisation is dramatically outpaced by the volume of DNA sequence deposited in various databanks, and our inability to predict protein behaviour using genome sequence information drastically slows the pace of discovery. By improving our understanding of sequence motifs or signatures that control enzymatic properties, we will allow the accurate extraction of protein character information from genomic data, and thus accelerate innovation in various fields, such as medical research, nutrition, drug synthesis and a number of water-based industrial processes. This is why several labs, including ours, continue their basic research on protein sequence encoded information. Investigation of carboxylesterases (""lipase"") revealed that such enzymes might be well suited for achieving our fundamental goal which is the elucidation of sequence-structure-properties relationships in proteins. Because of their relatedness, Bacillacae carboxylesterases share a very similar 3D organisation, yet display large differences in their properties.
Our short-term objectives are to identify putative sequence motifs that might be associated with a specific property of an individual carboxylesterase. Then related carboxylesterases will be modified by genetic means in order to demonstrate the relationship between the putative motif and the enzyme property. For that an array of molecular biology and bioinformatics tools will be used, along as robotised high-throughput enzymatic analyses under various conditions. Our long term objective is to elucidate sequence-structure-properties relationships in order to improve our ability to predict features of putative carboxylesterases, and more generally lipases, suggested by genomic annotation. Further, with this new knowledge, we hope to help protein engineers in the development of customised enzymes for novel industrial applications.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
138654-2012
Name nom
Beauregard, Marc
Department département
Chimie, biochimie et physique
Organization id
59
Institution établissement
Université du Québec à Trois-Rivières
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2015
Competition year année de concours
2012
Award amount
26000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1501
Committee name en
Genes, Cells and Molecules
Committee name fr
Gènes, cellules et molécules
Area of application code
1201
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Life sciences (including biotechnology)
Area of application fr
Sciences de la vie (y compris biotechnologie)
Research subject code
5404
Research subject group en
Biochemistry
Research subject group fr
Biochimie
Research subject en
Enzymes
Research subject fr
Enzymes
Partie
4
Nb partie
5
Application title
Elucidation of structure-properties relationships in carboxylesterases.
Keyword
NSERC
Application summary
The understanding of sequence-structure-properties relationships in proteins has never been so important as in this post-genomic era. Currently, protein purification and characterisation is dramatically outpaced by the volume of DNA sequence deposited in various databanks, and our inability to predict protein behaviour using genome sequence information drastically slows the pace of discovery. By improving our understanding of sequence motifs or signatures that control enzymatic properties, we will allow the accurate extraction of protein character information from genomic data, and thus accelerate innovation in various fields, such as medical research, nutrition, drug synthesis and a number of water-based industrial processes. This is why several labs, including ours, continue their basic research on protein sequence encoded information. Investigation of carboxylesterases (""lipase"") revealed that such enzymes might be well suited for achieving our fundamental goal which is the elucidation of sequence-structure-properties relationships in proteins. Because of their relatedness, Bacillacae carboxylesterases share a very similar 3D organisation, yet display large differences in their properties.
Our short-term objectives are to identify putative sequence motifs that might be associated with a specific property of an individual carboxylesterase. Then related carboxylesterases will be modified by genetic means in order to demonstrate the relationship between the putative motif and the enzyme property. For that an array of molecular biology and bioinformatics tools will be used, along as robotised high-throughput enzymatic analyses under various conditions. Our long term objective is to elucidate sequence-structure-properties relationships in order to improve our ability to predict features of putative carboxylesterases, and more generally lipases, suggested by genomic annotation. Further, with this new knowledge, we hope to help protein engineers in the development of customised enzymes for novel industrial applications.