Canada Spends Logo

Explore our Budget 2026 analysis

Grant: Discovery Grants Program - Individual

Memorial University of Newfoundland

$37,000.00

Computational modeling of the structure and mechanism of membrane embedded glycosyltransferases

FY 2024-25

Summary
To create innovative treatments and diagnostic tools for disease, novel biochemical pathways need to be targeted. Gaining an understanding of how a biochemical process occurs can aid in the development of therapeutics to treat disease and new tools for diagnostics. One biochemical pathway that is of interest for the treatment of cancer, bacterial infections and viral infections is the synthesis of carbohydrate chains. These carbohydrates chains (glycans) play an important role in cell-cell communication, and the composition of the glycan dictates the information that is stored and relayed between the cells. Biochemical systems achieve highly specific recognition of carbohydrates, with slight changes to the carbohydrate structure dictating whether the carbohydrate contributes to the normal function of an organism or leads to a deleterious effect. Glycans are made within cells through a group of enzymes known as glycosyltransferases and understanding the function of these enzymes is an important step in controlling the information communicated between cells and preventing disease. Nevertheless, many questions remain about how these enzymes function. Specifically, it is unknown how glycosyltransferases specifically bind their carbohydrate substrates, when carbohydrates have little variation in structure. Furthermore, glycosyltransferases are embedded within the cell membrane but the role the membrane plays in the mechanism of action has yet to be determined. Finally, many questions remain about features of the reaction mechanism catalysed by glycosyltransferases. My long-term goal is to gain a fundamental understanding of the structure and function of glycosyltransferases and the factors that give rise to specific binding of carbohydrates. My research program uses computational chemistry to understand these systems. By using a variety of computational techniques that look at the structural and energetic features of the systems (e.g., density functional theory, atomistic molecular dynamics simulations, hybrid QM/MM reaction mechanism calculations and coarse-grained molecular dynamics simulations) different features can be elucidated at high spatiotemporal resolution. The fundamental insight gained on the synthesis and binding of glycans through my research program can be used to direct future development of novel pharmaceuticals for diseases such as cancer, bacterial infections, or viral infections.
Program
Discovery Grants Program - Individual
Location
Newfoundland and Labrador, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RGPIN-2023-05903
Name nom
Wilson, Katie
Department département
Biochemistry
Organization id
89
Institution établissement
Memorial University of Newfoundland
Province en
Newfoundland and Labrador
Province fr
Terre-Neuve-et-Labrador
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
37000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1504
Committee name en
Chemistry
Committee name fr
Chimie
Area of application code
1202
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Physical sciences
Area of application fr
Sciences physiques
Research subject code
3156
Research subject group en
Theoretical physics and chemistry
Research subject group fr
Physique et chimie théoriques
Research subject en
Quantum and/or computational chemistry
Research subject fr
Chimie quantique ou par modélisation numérique
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Computational modeling of the structure and mechanism of membrane embedded glycosyltransferases
Keywords
molecular dynamics simulations; hybrid quantum mechanics-molecular mechanics calculations; density functional theory calculations; membrane proteins; enzyme reaction mechanisms; substrate binding; glycosyltransferases; carbohydrate-protein interactions; non-covalent interactions; biophysical chemistry
Application summary
To create innovative treatments and diagnostic tools for disease, novel biochemical pathways need to be targeted. Gaining an understanding of how a biochemical process occurs can aid in the development of therapeutics to treat disease and new tools for diagnostics. One biochemical pathway that is of interest for the treatment of cancer, bacterial infections and viral infections is the synthesis of carbohydrate chains. These carbohydrates chains (glycans) play an important role in cell-cell communication, and the composition of the glycan dictates the information that is stored and relayed between the cells. Biochemical systems achieve highly specific recognition of carbohydrates, with slight changes to the carbohydrate structure dictating whether the carbohydrate contributes to the normal function of an organism or leads to a deleterious effect. Glycans are made within cells through a group of enzymes known as glycosyltransferases and understanding the function of these enzymes is an important step in controlling the information communicated between cells and preventing disease. Nevertheless, many questions remain about how these enzymes function. Specifically, it is unknown how glycosyltransferases specifically bind their carbohydrate substrates, when carbohydrates have little variation in structure. Furthermore, glycosyltransferases are embedded within the cell membrane but the role the membrane plays in the mechanism of action has yet to be determined. Finally, many questions remain about features of the reaction mechanism catalysed by glycosyltransferases. My long-term goal is to gain a fundamental understanding of the structure and function of glycosyltransferases and the factors that give rise to specific binding of carbohydrates. My research program uses computational chemistry to understand these systems. By using a variety of computational techniques that look at the structural and energetic features of the systems (e.g., density functional theory, atomistic molecular dynamics simulations, hybrid QM/MM reaction mechanism calculations and coarse-grained molecular dynamics simulations) different features can be elucidated at high spatiotemporal resolution. The fundamental insight gained on the synthesis and binding of glycans through my research program can be used to direct future development of novel pharmaceuticals for diseases such as cancer, bacterial infections, or viral infections.