Grant: Discovery Grants Program - Individual
Wilfrid Laurier University
$37,000.00
Development of computational models to understand the dynamic molecular recognition mechanisms of cannabinoid receptors
FY 2024-25
Summary
Background: The use of cannabis has been legalized for both recreational and medical purposes in several countries worldwide including Canada. The latest data from Health Canada show that there were 329,038 active medical cannabis registrations during the first quarter of 2020. While the benefits of cannabis have been widely agreed, it is vital to enhance our understanding about the molecular mechanisms of how cannabinoids (CBs) - the active chemicals in cannabis- mediate their effects, which will help to develop safer and psychoactivity-free CBs. CBs are known to modulate the cannabinoid receptors (CBRs), CB1 and CB2, in humans. CB1 is expressed in the central nervous system, whereas the CB2 is mainly found in the immune system. The activation of these receptors by the binding of endogenous or exogenous CBs triggers a cascade of signaling pathways that is important for diverse physiological roles such as feeding, pain, emotional behaviour, immunity and lipid metabolism. Therefore, CB1 and CB2 have emerged as important class of enzymes. In the past decade, several synthetic and plant-based CBs have been developed. But, the modulation of CB1 in the leads to psychoactivity. On the contrary, since CB2 expression is concentrated in the immune system, and to a lesser extent in the brain, psychoactive side-effects can be evaded by regulating CB2. However, most of the known CBs non-specifically bind to both CB1 and CB2 and caused mild to severe psychoactivity. Therefore, it is crucial to identify molecular features that are unique to the two cannabinoid receptors to develop isoform-selective molecules. In addition, there remain numerous questions about the structural plasticity, ligand interactions, activation and signalling processes in cannabinoid receptors, which we seek to address in this research program.
Objectives and methods: This research program aims at revealing molecular level details that are critical for isoform specificity in CBRs. Our objectives are to (O1) build comprehensive dynamical atomistic models of cannabinoid receptors, (O2) characterize the ligand-CB receptor interactions to elucidate the molecular processes behind ligand-mediated modulation of the cannabinoid receptors, and (O3) model specific protein-protein interactions that promote CBR signaling. We will use a combination of advanced computational modelling, molecular dynamics simulation approaches, machine learning methods and complementary experimental techniques to achieve our objectives.
Impact: This research will contribute original knowledge in bioscience, chemical biology and train HQP by advancing our fundamental knowledge linked with mechanistic processes of molecular recognition in CBRs. Such insights could be useful to develop selective CBs without psychoactivity. The program will also be a suitable platform for training next generation of scientists in molecular modelling-driven endocannabinoid research.
Program
Discovery Grants Program - Individual
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2021-03161
Name nom
Ganesan, Aravindhan
Department département
Chemistry and Biochemistry - Chemistry and Biochemistry
Organization id
35
Institution établissement
Wilfrid Laurier University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2021
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
1501
Committee name en
Genes, Cells and Molecules
Committee name fr
Gènes, cellules et molécules
Area of application code
1102
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Biomedical engineering
Area of application fr
Génie biomédical
Research subject code
2717
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Modelling and simulation studies
Research subject fr
Études de modélisation et de simulation
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
Development of computational models to understand the dynamic molecular recognition mechanisms of cannabinoid receptors
Keywords
computational modelling; cannabinoid receptors; small molecules; molecular dynamics; machine learning models; virtual screening; molecular mechanisms; gpcrs; competitive binding assays; receptor activation
Application summary
Background: The use of cannabis has been legalized for both recreational and medical purposes in several countries worldwide including Canada. The latest data from Health Canada show that there were 329,038 active medical cannabis registrations during the first quarter of 2020. While the benefits of cannabis have been widely agreed, it is vital to enhance our understanding about the molecular mechanisms of how cannabinoids (CBs) - the active chemicals in cannabis- mediate their effects, which will help to develop safer and psychoactivity-free CBs. CBs are known to modulate the cannabinoid receptors (CBRs), CB1 and CB2, in humans. CB1 is expressed in the central nervous system, whereas the CB2 is mainly found in the immune system. The activation of these receptors by the binding of endogenous or exogenous CBs triggers a cascade of signaling pathways that is important for diverse physiological roles such as feeding, pain, emotional behaviour, immunity and lipid metabolism. Therefore, CB1 and CB2 have emerged as important class of enzymes. In the past decade, several synthetic and plant-based CBs have been developed. But, the modulation of CB1 in the leads to psychoactivity. On the contrary, since CB2 expression is concentrated in the immune system, and to a lesser extent in the brain, psychoactive side-effects can be evaded by regulating CB2. However, most of the known CBs non-specifically bind to both CB1 and CB2 and caused mild to severe psychoactivity. Therefore, it is crucial to identify molecular features that are unique to the two cannabinoid receptors to develop isoform-selective molecules. In addition, there remain numerous questions about the structural plasticity, ligand interactions, activation and signalling processes in cannabinoid receptors, which we seek to address in this research program.
Objectives and methods: This research program aims at revealing molecular level details that are critical for isoform specificity in CBRs. Our objectives are to (O1) build comprehensive dynamical atomistic models of cannabinoid receptors, (O2) characterize the ligand-CB receptor interactions to elucidate the molecular processes behind ligand-mediated modulation of the cannabinoid receptors, and (O3) model specific protein-protein interactions that promote CBR signaling. We will use a combination of advanced computational modelling, molecular dynamics simulation approaches, machine learning methods and complementary experimental techniques to achieve our objectives.
Impact: This research will contribute original knowledge in bioscience, chemical biology and train HQP by advancing our fundamental knowledge linked with mechanistic processes of molecular recognition in CBRs. Such insights could be useful to develop selective CBs without psychoactivity. The program will also be a suitable platform for training next generation of scientists in molecular modelling-driven endocannabinoid research.