Grant: Canada Research Chairs
Concordia University
$120,000.00
Computational Physics/Biophysics
EF 2023-24
Résumé
The drug discovery industry is facing a sharp decline in productivity because of a dwindling of
easily-identifiable new drug classes. For many therapeutic applications, it is urgent to find
innovative ways of designing novel compounds. The proposed highly interdisciplinary research
program will use physical principles to direct cutting-edge artificial intelligence techniques to
understand biophysical processes and identify unique design rules for molecules and short proteins
for such therapeutic applications as combating antimicrobial resistance and reducing chronic pain.
Programme
Canada Research Chairs
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
CRC-2020-00225
Name nom
Mansbach, Rachael
Department département
Physics - Concordia University
Organization id
70
Institution établissement
Concordia University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2020
Award amount
120000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
10000
Research subject group en
The field of research available
Research subject group fr
The field of research available
Research subject en
Le domaine de recherche disponible
Research subject fr
Le domaine de recherche disponible
Field of research list codes
RDF10407
Field of research list names en
Computational and theoretical chemistry
Field of research list names fr
Chimie computationnelle et théorique
Application title
Computational Physics/Biophysics
Keyword
molecular dynamics
statistical physics
deep learning
drug ; discovery
unsupervised learning
semi-supervised learning
; dimensionality reduction
multi-scale modeling
Application summary
The drug discovery industry is facing a sharp decline in productivity because of a dwindling of
easily-identifiable new drug classes. For many therapeutic applications, it is urgent to find
innovative ways of designing novel compounds. The proposed highly interdisciplinary research
program will use physical principles to direct cutting-edge artificial intelligence techniques to
understand biophysical processes and identify unique design rules for molecules and short proteins
for such therapeutic applications as combating antimicrobial resistance and reducing chronic pain.
